Pancreatic Cancer

How artificial intelligence is transforming pancreatic cancer detection, diagnosis, and treatment.

247 Papers Open Access

Showing all 247 papers

Cited by 589
Early detection of pancreatic cancer.

Lancet Gastroenterol Hepatol, 2020

Open Access
Cited by 453
Early screening and diagnosis strategies of pancreatic cancer: a comprehensive review.

Cancer Commun (Lond), 2021

Open Access
Cited by 428
Large-scale pancreatic cancer detection via non-contrast CT and deep learning.

Nat Med, 2023

Open Access
Cited by 399
A Deep Learning Algorithm to Predict Risk of Pancreatic Cancer from Disease Trajectories

Nat Med, 2023

Open Access
Cited by 211
Targeting galectin-1 inhibits pancreatic cancer progression by modulating tumor-stroma crosstalk.

Proc Natl Acad Sci U S A, 2018

Open Access
Cited by 211
Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clin Transl Gastroenterol, 2019

Open Access
Cited by 208
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.

Pancreas, 2021

Open Access
Cited by 193
Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis.

Gastroenterology, 2022

Open Access
Cited by 189
Artificial intelligence in pancreatic cancer.

Theranostics, 2022

Open Access
Cited by 174
OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.

PLoS Comput Biol, 2022

Open Access
Cited by 142
A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma.

Clin Cancer Res, 2020

Open Access
Cited by 138
Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.

Theranostics, 2021

Open Access
Cited by 131
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients.

Magn Reson Med, 2021

Open Access
Cited by 122
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

Cancer Lett, 2020

Open Access
Cited by 117
Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics.

Sci Rep, 2020

Open Access
Cited by 113
Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.

Br J Cancer, 2020

Open Access
Cited by 110
Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer.

Elife, 2022

Open Access
Cited by 108
Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

Int J Radiat Oncol Biol Phys, 2019

Open Access
Cited by 103
Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network

Chin Med J (Engl), 2019

Open Access
Cited by 103
Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.

Med Image Anal, 2025

Open Access
Cited by 101
Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypes.

BMC Cancer, 2018

Open Access
Cited by 98
Computer-Aided Diagnosis of Pancreas Serous Cystic Neoplasms: A Radiomics Method on Preoperative MDCT Images.

Technol Cancer Res Treat, 2019

Open Access
Cited by 97
Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis

World J Gastroenterol, 2020

Open Access
Cited by 97
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis.

BMC Med, 2022

Open Access
Cited by 97
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.

Diagn Pathol, 2020

Open Access
Cited by 96
Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions.

Sci Rep, 2019

Open Access
Cited by 95
Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.

BMC Syst Biol, 2018

Open Access
Cited by 95
Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients.

PLoS One, 2017

Open Access
Cited by 94
The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients.

Nat Cancer, 2024

Open Access
Cited by 92
Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.

Sci Rep, 2022

Open Access
Cited by 90
Development of PancRISK, a urine biomarker-based risk score for stratified screening of pancreatic cancer patients.

Br J Cancer, 2020

Open Access
Cited by 88
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy.

Sci Rep, 2021

Open Access
Cited by 86
Predicting pancreatic ductal adenocarcinoma using AI analysis of pre-diagnostic CT images.

Cancer Biomark, 2022

Open Access
Cited by 85
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PLoS One, 2019

Open Access
Cited by 84
A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.

Eur Radiol Exp, 2019

Open Access
Cited by 84
Artificial Intelligence-Driven Diagnosis of Pancreatic Cancer

Cancers (Basel), 2022

Open Access
Cited by 84
Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer.

Sci Rep, 2020

Open Access
Cited by 83
Automated AI Model Trained on Large Data Set Can Detect Pancreas Cancer on Diagnostic CT Scans.

Gastroenterology, 2023

Open Access
Cited by 83
Genetic characterization of pancreatic cancer patients and prediction of carrier status of germline pathogenic variants in cancer-predisposing genes.

EBioMedicine, 2020

Open Access
Cited by 79
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images.

Sci Rep, 2021

Open Access
Cited by 77
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.

Nat Commun, 2023

Open Access
Cited by 75
Identification of the Shared Gene Signatures and Biological Mechanism in Type 2 Diabetes and Pancreatic Cancer.

Front Endocrinol (Lausanne), 2022

Open Access
Cited by 73
Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

PLoS One, 2018

Open Access
Cited by 72
Quantification of pancreatic cancer proteome and phosphorylome: indicates molecular events likely contributing to cancer and activity of drug targets.

PLoS One, 2014

Open Access
Cited by 70
Automated Pancreas Segmentation and Volumetry Using Deep Neural Network on Computed Tomography

Sci Rep, 2022

Open Access
Cited by 69
Comparing methods for identifying pancreatic cancer patients using electronic data sources.

AMIA Annu Symp Proc, 2010

Open Access
Cited by 67
Diagnostic ability of deep learning in detection of pancreatic tumour

Sci Rep, 2023

Open Access
Cited by 66
Minimally invasive radical pancreatectomy for left-sided pancreatic cancer: current status and future perspectives.

World J Gastroenterol, 2014

Open Access
Cited by 64
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

Diagnostics (Basel), 2024

Open Access
Cited by 63
A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging.

Curr Opin Gastroenterol, 2023

Open Access
Cited by 63
Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model.

PLoS One, 2021

Open Access
Cited by 62
Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.

Pancreas, 2021

Open Access
Cited by 60
Multimodal survival prediction in advanced pancreatic cancer using machine learning.

ESMO Open, 2022

Open Access
Cited by 59
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review.

J Med Internet Res, 2023

Open Access
Cited by 57
Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.

PLoS One, 2021

Open Access
Cited by 57
Early Diagnosis of Pancreatic Cancer: Clinical Premonitions, Timely Precursor Detection and Increased Curative-Intent Surgery.

Cancer Control, 2023

Open Access
Cited by 55
Pancreatic cancer, radiomics and artificial intelligence.

Br J Radiol, 2022

Open Access
Cited by 52
A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study.

EBioMedicine, 2022

Open Access
Cited by 52
Artificial Intelligence in Pancreatic Imaging: A Systematic Review

United European Gastroenterol J, 2025

Open Access
Cited by 52
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.

J Biomed Inform, 2022

Open Access
Cited by 51
Genome-scale analysis identifies GJB2 and ERO1LB as prognosis markers in patients with pancreatic cancer.

Oncotarget, 2017

Open Access
Cited by 50
Deep Learning in Pancreatic Tissue: Identification of Anatomical Structures, Pancreatic Intraepithelial Neoplasia, and Ductal Adenocarcinoma.

Int J Mol Sci, 2021

Open Access
Cited by 50
Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability.

Stud Health Technol Inform, 2015

Open Access
Cited by 49
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

HPB (Oxford), 2015

Open Access
Cited by 47
Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.

BMC Cancer, 2022

Open Access
Cited by 47
Clinical Data Prediction Model to Identify Patients With Early-Stage Pancreatic Cancer.

JCO Clin Cancer Inform, 2021

Open Access
Cited by 47
Quantitative secretomic analysis of pancreatic cancer cells in serum-containing conditioned medium.

Sci Rep, 2016

Open Access
Cited by 46
A deep-learning radiomics-based lymph node metastasis predictive model for pancreatic cancer.

Int J Surg, 2023

Open Access
Cited by 46
Distinct genome-wide methylation patterns in sporadic and hereditary nonfunctioning pancreatic neuroendocrine tumors.

Cancer, 2019

Open Access
Cited by 46
Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer.

Med, 2023

Open Access
Cited by 44
The Effects of Plumbagin on Pancreatic Cancer: A Mechanistic Network Pharmacology Approach.

Med Sci Monit, 2019

Open Access
Cited by 43
Advancements in Pancreatic Cancer Detection: Integrating Biomarkers, Imaging Technologies, and Machine Learning for Early Diagnosis

Cureus, 2024

Open Access
Cited by 43
Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer.

Med Phys, 2021

Open Access
Cited by 43
Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma.

World J Gastroenterol, 2021

Open Access
Cited by 41
Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography.

Theranostics, 2020

Open Access
Cited by 41
Triptolide as a novel agent in pancreatic cancer: the validation using patient derived pancreatic tumor cell line.

BMC Cancer, 2018

Open Access
Cited by 40
Identification of hub genes with diagnostic values in pancreatic cancer by bioinformatics analyses and supervised learning methods.

World J Surg Oncol, 2018

Open Access
Cited by 39
Laparoscopic resection of pancreatic adenocarcinoma: dream or reality?

World J Gastroenterol, 2014

Open Access
Cited by 38
Artificial Intelligence as a Noninvasive Tool for Pancreatic Cancer Prediction and Diagnosis

World J Gastroenterol, 2023

Open Access
Cited by 38
Contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) MASTER: A novel deep learning-based system in pancreatic mass diagnosis.

Cancer Med, 2023

Open Access
Cited by 38
Pathologic Examination of Pancreatic Specimens Resected for Treated Pancreatic Ductal Adenocarcinoma: Recommendations From the Pancreatobiliary Pathology Society.

Am J Surg Pathol, 2022

Open Access
Cited by 37
Informatics Strategies for Early Detection and Risk Mitigation in Pancreatic Cancer Patients

Neoplasia, 2025

Open Access
Cited by 37
OrganoIDNet: a deep learning tool for identification of therapeutic effects in PDAC organoid-PBMC co-cultures from time-resolved imaging data.

Cell Oncol (Dordr), 2025

Open Access
Cited by 36
A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on (18)F-FDG PET/CT images.

Jpn J Radiol, 2023

Open Access
Cited by 36
Artificial Intelligence in Pancreatic Image Analysis: A Review.

Sensors (Basel), 2024

Open Access
Cited by 36
TSPAN1, TMPRSS4, SDR16C5, and CTSE as Novel Panel for Pancreatic Cancer: A Bioinformatics Analysis and Experiments Validation.

Front Immunol, 2021

Open Access
Cited by 35
Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review.

Chin Clin Oncol, 2022

Open Access
Cited by 35
Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer.

Eur Radiol Exp, 2024

Open Access
Cited by 35
Deep Learning Applications in Pancreatic Cancer

Cancers (Basel), 2024

Open Access
Cited by 35
Rational Design of Metal-Organic Frameworks for Pancreatic Cancer Therapy: from ML Screening to In Vivo Efficacy.

Adv Mater, 2025

Open Access
Cited by 35
Screening for pancreatic cancer has the potential to save lives, but is it practical?

Expert Rev Gastroenterol Hepatol, 2023

Open Access
Cited by 35
State-of-the-art surgery for pancreatic cancer.

Langenbecks Arch Surg, 2022

Open Access
Cited by 34
CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network

Abdom Radiol (NY), 2022

Open Access
Cited by 34
Early detection of pancreatic cancer by comprehensive serum miRNA sequencing with automated machine learning.

Br J Cancer, 2024

Open Access
Cited by 34
Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data.

Am J Gastroenterol, 2024

Open Access
Cited by 33
Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art.

Comput Math Methods Med, 2021

Open Access
Cited by 32
Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study

Cancers (Basel), 2023

Open Access
Cited by 32
Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects-a narrative review.

J Cancer Res Clin Oncol, 2023

Open Access
Cited by 32
Early diagnosis of pancreatic cancer: What strategies to avoid a foretold catastrophe.

World J Gastroenterol, 2022

Open Access
Cited by 32
Mining Exosomal Genes for Pancreatic Cancer Targets.

Cancer Genomics Proteomics, 2017

Open Access
Cited by 31
AI-driven discovery of synergistic drug combinations against pancreatic cancer.

Nat Commun, 2025

Open Access
Cited by 31
CellNEST reveals cell-cell relay networks using attention mechanisms on spatial transcriptomics.

Nat Methods, 2025

Open Access
Cited by 31
Differentially Expressed microRNAs in MIA PaCa-2 and PANC-1 Pancreas Ductal Adenocarcinoma Cell Lines are Involved in Cancer Stem Cell Regulation.

Int J Mol Sci, 2019

Open Access
Cited by 31
Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

Clin Transl Gastroenterol, 2020

Open Access
Cited by 31
Machine learning versus regression for prediction of sporadic pancreatic cancer.

Pancreatology, 2023

Open Access
Cited by 31
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis.

BMC Med Inform Decis Mak, 2025

Open Access
Cited by 30
A novel model for predicting postoperative liver metastasis in R0 resected pancreatic neuroendocrine tumors.

J Transl Med, 2024

Open Access
Cited by 30
Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising.

World J Gastroenterol, 2021

Open Access
Cited by 30
Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer.

Sci Rep, 2021

Open Access
Cited by 30
Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer.

Am J Gastroenterol, 2023

Open Access
Cited by 30
Differentiation of Focal-Type Autoimmune Pancreatitis From Pancreatic Ductal Adenocarcinoma Using Radiomics Based on Multiphasic Computed Tomography.

J Comput Assist Tomogr, 2020

Open Access
Cited by 29
A powerful machine learning approach to identify interactions of differentially abundant gut microbial subsets in patients with metastatic and non-metastatic pancreatic cancer.

Gut Microbes, 2024

Open Access
Cited by 29
CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm

PLoS One, 2023

Open Access
Cited by 29
Identification of molecular biomarkers for pancreatic cancer with mRMR shortest path method.

Oncotarget, 2017

Open Access
Cited by 29
Machine Learning Links T-cell Function and Spatial Localization to Neoadjuvant Immunotherapy and Clinical Outcome in Pancreatic Cancer.

Cancer Immunol Res, 2024

Open Access
Cited by 28
A deep learning model using hyperspectral image for EUS-FNA cytology diagnosis in pancreatic ductal adenocarcinoma.

Cancer Med, 2023

Open Access
Cited by 28
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma.

Abdom Radiol (NY), 2024

Open Access
Cited by 28
Combining bioinformatics techniques to explore the molecular mechanisms involved in pancreatic cancer metastasis and prognosis.

J Cell Mol Med, 2020

Open Access
Cited by 28
Prognostic value of deep learning-derived body composition in advanced pancreatic cancer.

ESMO Open, 2024

Open Access
Cited by 28
Recent Advances and Future Challenges in Pancreatic Cancer Care: Early Detection Liquid Biopsies Precision Medicine and AI

J Clin Med, 2023

Open Access
Cited by 27
A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning

Cancer Med, 2023

Open Access
Cited by 27
Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.

PLoS One, 2025

Open Access
Cited by 27
Deep learning-based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment

Eur Radiol, 2024

Open Access
Cited by 27
Enhanced endoscopic ultrasound imaging for pancreatic lesions: The road to artificial intelligence.

World J Gastroenterol, 2022

Open Access
Cited by 27
Exploring the application and future outlook of Artificial intelligence in pancreatic cancer

Front Oncol, 2024

Open Access
Cited by 27
Two machine learning-based nomogram to predict risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors: a multicenter study.

BMC Cancer, 2023

Open Access
Cited by 26
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer.

Cell Rep Med, 2023

Open Access
Cited by 26
Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.

J Transl Med, 2024

Open Access
Cited by 26
Pancreatic ductal adenocarcinoma staging: a narrative review of radiologic techniques and advances.

Int J Surg, 2024

Open Access
Cited by 26
Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning.

Sci Rep, 2020

Open Access
Cited by 25
Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesions.

Int J Surg, 2023

Open Access
Cited by 25
Genomic characteristics of pancreatic squamous cell carcinoma.

Oncotarget, 2017

Open Access
Cited by 25
Identification of copy number variation-driven molecular subtypes informative for prognosis and treatment in pancreatic adenocarcinoma of a Chinese cohort.

EBioMedicine, 2021

Open Access
Cited by 25
Pancreatic cancer grading in pathological images using deep learning CNNs.

F1000Res, 2021

Open Access
Cited by 25
The effect of CT texture-based analysis using machine learning approaches on radiologists performance in differentiating focal-type autoimmune pancreatitis and pancreatic duct carcinoma.

Jpn J Radiol, 2022

Open Access
Cited by 24
Applying a radiomics-based CAD scheme to classify between malignant and benign pancreatic tumors using CT images.

J Xray Sci Technol, 2022

Open Access
Cited by 24
Development of a four-gene prognostic model for pancreatic cancer based on transcriptome dysregulation.

Aging (Albany NY), 2020

Open Access
Cited by 24
Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.

J Clin Gastroenterol, 2023

Open Access
Cited by 23
DenseNet model incorporating hybrid attention mechanisms and clinical features for pancreatic cystic tumor classification

J Appl Clin Med Phys, 2024

Open Access
Cited by 23
Graph Convolutional Neural Networks for Histologic Classification of Pancreatic Cancer.

Arch Pathol Lab Med, 2023

Open Access
Cited by 21
A new endoscopic ultrasonography image processing method to evaluate the prognosis for pancreatic cancer treated with interstitial brachytherapy.

World J Gastroenterol, 2013

Open Access
Cited by 21
Identification of Pancreaticoduodenectomy Resection for Pancreatic Head Adenocarcinoma: A Preliminary Study of Radiomics.

Comput Math Methods Med, 2020

Open Access
Cited by 21
New morphological features for grading pancreatic ductal adenocarcinomas.

Biomed Res Int, 2013

Open Access
Cited by 21
Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis.

BMC Cancer, 2020

Open Access
Cited by 20
Advancements in early detection of pancreatic cancer: the role of AI and novel imaging techniques.

Abdom Radiol (NY), 2025

Open Access
Cited by 20
Artificial intelligence-based comprehensive analysis of immune-stemness-tumor budding profile to predict survival of patients with pancreatic adenocarcinoma.

Cancer Biol Med, 2023

Open Access
Cited by 20
Bounding box-based 3D AI model for volumetric segmentation of pancreatic ductal adenocarcinoma.

Pancreatology, 2023

Open Access
Cited by 20
Derivation and Validation of the Potential Core Genes in Pancreatic Cancer for Tumor-Stroma Crosstalk.

Biomed Res Int, 2018

Open Access
Cited by 20
Effectiveness of data-augmentation on deep learning in evaluating rapid on-site cytopathology at endoscopic ultrasound-guided fine needle aspiration.

Sci Rep, 2024

Open Access
Cited by 20
Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles.

Sci Rep, 2025

Open Access
Cited by 20
Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

Biomark Med, 2019

Open Access
Cited by 20
Prediction of massive bleeding in pancreatic surgery based on preoperative patient characteristics using a decision tree.

PLoS One, 2021

Open Access
Cited by 19
Neural Transformers for IPMN Classification in MRI images.

Annu Int Conf IEEE Eng Med Biol Soc, 2022

Open Access
Cited by 19
Perineural invasion detection in pancreatic ductal adenocarcinoma using artificial intelligence.

Sci Rep, 2023

Open Access
Cited by 18
Biomarker Discovery for Early Detection of Pancreatic Ductal Adenocarcinoma Using Multiplex Proteomics Technology.

J Proteome Res, 2025

Open Access
Cited by 17
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.

BMC Cancer, 2022

Open Access
Cited by 17
Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer Detection

Visc Med, 2025

Open Access
Cited by 17
Interpretable ML model for predicting early recurrence of pancreatic cancer.

Int J Surg, 2025

Open Access
Cited by 16
AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication.

Abdom Radiol (NY), 2025

Open Access
Cited by 16
ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity.

Theranostics, 2020

Open Access
Cited by 16
Cutting edge of EUS-FNA for solid pancreatic lesions.

J Med Ultrason (2001), 2024

Open Access
Cited by 16
Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.

Int J Surg, 2024

Open Access
Cited by 16
Establishment and Verification of a Novel Gene Signature Connecting Hypoxia and Lactylation for Predicting Prognosis and Immunotherapy of Pancreatic Ductal Adenocarcinoma.

Int J Mol Sci, 2024

Open Access
Cited by 16
Machine learning identifies SLC6A14 as a novel biomarker promoting the proliferation and metastasis of pancreatic cancer.

Sci Rep, 2024

Open Access
Cited by 16
Machine learning-based integration develops a metabolism-derived consensus model for improving immunotherapy in pancreatic cancer.

J Immunother Cancer, 2023

Open Access
Cited by 16
Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation.

Sci Rep, 2025

Open Access
Cited by 16
Three-dimensional simulation of the pancreatic parenchyma and vascular arrangement in pancreatic surgery using deep learning.

PLoS One, 2022

Open Access
Cited by 15
CGAT: Cell Graph ATtention Network for Grading of Pancreatic Disease Histology Images.

Front Immunol, 2021

Open Access
Cited by 15
Multi-omics integration and machine learning uncover molecular basal-like subtype of pancreatic cancer.

J Transl Med, 2025

Open Access
Cited by 15
Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning.

Cancer Med, 2023

Open Access
Cited by 14
3D Virtual Pancreatography.

IEEE Trans Vis Comput Graph, 2022

Open Access
Cited by 14
An EUS-based interpretable deep learning model and nomogram for distinguishing PNETs from pancreatic cancer.

Sci Rep, 2025

Open Access
Cited by 14
Analysis of Important Gene Ontology Terms and Biological Pathways Related to Pancreatic Cancer.

Biomed Res Int, 2016

Open Access
Cited by 14
Incorporation of explainable artificial intelligence in ensemble machine learning-driven pancreatic cancer diagnosis

Sci Rep, 2025

Open Access
Cited by 14
Machine learning with imaging features to predict expression of ITGAV in pancreatic cancer.

Int J Oncol, 2022

Open Access
Cited by 14
Noninvasive prediction of lymph node metastasis in pancreatic cancer using ultrasound-based clinicoradiomics ML model.

Biomed Eng Online, 2024

Open Access
Cited by 14
Precision oncology: AI, circulating cell-free DNA, and minimally invasive detection of pancreatic cancer.

Cancer Med, 2023

Open Access
Cited by 14
Predicting and Monitoring Immune Checkpoint Inhibitor Therapy Using AI in Pancreatic Cancer.

Int J Mol Sci, 2024

Open Access
Cited by 13
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer with upfront surgery.

Cancer Imaging, 2025

Open Access
Cited by 13
A ML framework using urinary biomarkers for PDAC prediction with post hoc validation via single-cell transcriptomics.

Brief Bioinform, 2025

Open Access
Cited by 13
Automatic quantification of tumor-stroma ratio as prognostic marker for pancreatic cancer.

PLoS One, 2024

Open Access
Cited by 13
Development of PDAC diagnosis and prognosis evaluation models based on machine learning.

BMC Cancer, 2025

Open Access
Cited by 13
Integrative multi-omics analysis reveals the role of toll-like receptor signaling in pancreatic cancer.

Sci Rep, 2025

Open Access
Cited by 13
Screening of genes characteristic of pancreatic cancer by LASSO regression combined with SVM.

J Int Med Res, 2024

Open Access
Cited by 13
Systematic Analysis of the Expression and Prognostic Significance of P4HA1 in Pancreatic Cancer.

Biomed Res Int, 2020

Open Access
Cited by 12
A Curated Cell Life Imaging Dataset of Immune-enriched Pancreatic Cancer Organoids with Pre-trained AI Models.

Sci Data, 2024

Open Access
Cited by 12
A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging.

Sci Rep, 2023

Open Access
Cited by 12
Deep Learning and Automatic Differentiation of Pancreatic Lesions in EUS: A Transatlantic Study.

Clin Transl Gastroenterol, 2024

Open Access
Cited by 12
Integrating AI/ML and multi-omics approaches to investigate TNFRSF10A/TRAILR1 in pancreatic cancer.

Comput Biol Med, 2025

Open Access
Cited by 12
Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors.

Cancer Biomark, 2022

Open Access
Cited by 12
Proteogenomic analysis of pancreatic cancer subtypes.

PLoS One, 2021

Open Access
Cited by 11
A Deep Learning Approach for Identification of Molecular Subtypes of PDAC Based on Whole Slide Pathology Images.

Am J Pathol, 2024

Open Access
Cited by 11
Artificial Intelligence Outperforms Radiologists for Pancreatic Cancer Lymph Node Metastasis Prediction at CT.

Radiology, 2023

Open Access
Cited by 11
Auto-detection of necessity for MRI-guided online adaptive replanning using a machine learning classifier.

Med Phys, 2023

Open Access
Cited by 11
Data privacy-aware machine learning approach in pancreatic cancer diagnosis.

BMC Med Inform Decis Mak, 2024

Open Access
Cited by 11
Deep Learning Enabled Scoring of Pancreatic Neuroendocrine Tumors Based on Cancer Infiltration Patterns.

Endocr Pathol, 2025

Open Access
Cited by 11
Effect of chemotherapy on prognosis in patients with primary pancreatic signet ring cell carcinoma.

PLoS One, 2024

Open Access
Cited by 11
Personalized three-year survival prediction and prognosis forecast by interpretable machine learning for pancreatic cancer patients

Front Oncol, 2024

Open Access
Cited by 11
Predicting Pancreatic Cancer in New-Onset Diabetes Cohort Using a Novel Model With Clinical and Genetic Indicators.

Cancer Med, 2024

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Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm.

Technol Cancer Res Treat, 2021

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Radiogenomic analysis for predicting lymph node metastasis and molecular annotation of radiomic features in pancreatic cancer.

J Transl Med, 2024

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Robust and consistent biomarker candidates identification by ML approach applied to PDAC metastasis.

BMC Med Inform Decis Mak, 2024

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AI-based models to assess risk of malignancy on radiological imaging in patients with IPMN of the pancreas.

Br J Surg, 2023

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Eravacycline repurposed for pancreatic cancer therapy: insights from molecular-based deep learning model.

Brief Bioinform, 2024

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EUS-based intratumoral and peritumoral ML radiomics for distinguishing insulinomas from non-functional PNETs.

Front Endocrinol (Lausanne), 2024

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Harnessing artificial intelligence for detection of pancreatic cancer: a ML approach.

Clin Exp Med, 2025

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Identification of novel HRD-associated genes in pancreatic adenocarcinoma via WGCNA and machine learning.

Cell Cycle, 2023

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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magn Reson Med, 2019

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Prognostic assessment capability of a five-gene signature in pancreatic cancer.

BMC Gastroenterol, 2023

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A neural network model to screen feature genes for pancreatic cancer.

BMC Bioinformatics, 2023

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A Wavelet-Based Learning Model Enhances Molecular Prognosis in Pancreatic Adenocarcinoma.

Biomed Res Int, 2021

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Artificial Intelligence in Pancreatic Cancer Histopathology and Diagnostics: Implications for Clinical Decisions and Biomarker Discovery

Cell Div, 2025

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End-to-end prognostication in pancreatic cancer by multimodal deep learning.

Eur Radiol, 2025

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Identification of pancreatic cancer risk factors from clinical notes using NLP.

Pancreatology, 2024

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Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for PDAC detection.

Cancer Imaging, 2023

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Raman spectroscopy based diagnosis of pancreatic ductal adenocarcinoma.

Sci Rep, 2025

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Studying the impact of marital status on diagnosis and survival prediction in pancreatic ductal carcinoma using ML.

Sci Rep, 2024

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Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma.

JCO Clin Cancer Inform, 2021

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Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology.

Sci Rep, 2024

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Differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma based on multi-modality texture features.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2019

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Enhancing noninvasive pancreatic cystic neoplasm diagnosis with multimodal machine learning.

Sci Rep, 2025

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Identification of a serum proteomic biomarker panel for early pancreatic cancer detection.

PLoS Comput Biol, 2024

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ML-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.

Adv Sci (Weinh), 2025

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Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning.

Dis Markers, 2022

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Signal enhancement ratio of multi-phase contrast-enhanced MRI as imaging biomarker for survival in pancreatic adenocarcinoma.

Eur Radiol, 2024

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A protein-based machine learning approach to identification of inflammatory subtypes in PDAC.

Pancreatology, 2023

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An interpretable ML model for predicting early liver metastasis after pancreatic cancer surgery.

BMC Cancer, 2025

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Computed tomography-based fully automated AI model to predict extrapancreatic perineural invasion in pancreatic ductal adenocarcinoma.

Int J Surg, 2024

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Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.

JCI Insight, 2025

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New Diagnostic Modality Combining Mass Spectrometry and Machine Learning for Discrimination of Malignant IPMN.

Ann Surg Oncol, 2023

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OSBPL3 modulates the immunosuppressive microenvironment and predicts therapeutic outcomes in pancreatic cancer.

Biol Direct, 2025

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Characterization and digital spatial deconvolution of the immune microenvironment of IOPN of the pancreas.

Virchows Arch, 2023

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Construction of a combined prognostic model for PDAC based on deep learning and digital pathology images.

BMC Gastroenterol, 2024

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Identification of fibroblast-related genes based on single-cell and machine learning for prognosis of pancreatic cancer.

Front Endocrinol (Lausanne), 2023

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Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer.

Front Immunol, 2025

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Machine learning was used to predict risk factors for distant metastasis of pancreatic cancer.

J Cancer Res Clin Oncol, 2023

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Spatial recognition and semi-quantification of epigenetic events in pancreatic cancer subtypes with multiplexed molecular imaging and ML.

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Explainable artificial intelligence in pancreatic cancer prediction: from transparency to clinical decision-making

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A ML model based on clinical features and ultrasound radiomics for pancreatic tumor classification.

Front Endocrinol (Lausanne), 2024

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EUS-based intratumoral and peritumoral ML ultrasomics model for predicting pathological grading of PNETs.

BMC Med Imaging, 2025

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Prediction of 12-month recurrence of pancreatic cancer using machine learning and prognostic factors.

BMC Med Inform Decis Mak, 2024

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Establishing a new-onset diabetes-related metabolism signature for predicting prognosis in pancreatic cancer.

Carcinogenesis, 2025

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Excavation of gene markers associated with PDAC based on interrelationships of gene expression.

IET Syst Biol, 2024

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Machine learning based identification of amino acid metabolism related signature for prognosis in pancreatic cancer.

BMC Cancer, 2025

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Stroma and lymphocytes identified by deep learning are independent predictors for survival in pancreatic cancer.

Sci Rep, 2025

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Can AI Be Useful in the Early Detection of Pancreatic Cancer in Patients with New-Onset Diabetes?

Biomedicines, 2025

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Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study

World J Gastrointest Oncol, 2025

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