Endometrial Cancer

How artificial intelligence is transforming Endometrial Cancer detection, diagnosis, and treatment.

206 Papers Open Access

Showing all 206 papers

Cited by 789
Addressing the Role of Obesity in Endometrial Cancer Risk, Prevention, and Treatment

J Clin Oncol, 2016

Open Access
Cited by 367
Understanding Obesity and Endometrial Cancer Risk: Opportunities for Prevention

Am J Obstet Gynecol, 2011

Open Access
Cited by 248
Tumor necrosis is an important hallmark of aggressive endometrial cancer and associates with hypoxia, angiogenesis and inflammation responses.

Oncotarget, 2015

Open Access
Cited by 236
Comparative effectiveness of robotic versus laparoscopic hysterectomy for endometrial cancer.

J Clin Oncol, 2012

Open Access
Cited by 177
Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models.

Cell Rep Med, 2021

Open Access
Cited by 177
Surgical outcomes of robotic-assisted surgical staging for endometrial cancer are equivalent to traditional laparoscopic staging at a minimally invasive surgical center.

Gynecol Oncol, 2010

Open Access
Cited by 131
Prediction of recurrence risk in endometrial cancer with multimodal deep learning.

Nat Med, 2024

Open Access
Cited by 128
Comparison of robotic surgery with laparoscopy and laparotomy for treatment of endometrial cancer: a meta-analysis.

PLoS One, 2014

Open Access
Cited by 124
Deep learning model for classifying endometrial lesions.

J Transl Med, 2021

Open Access
Cited by 100
Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy.

PLoS One, 2021

Open Access
Cited by 94
Proteomic Biomarkers for the Detection of Endometrial Cancer.

Cancers (Basel), 2019

Open Access
Cited by 91
Identification of prognostic immune-related genes in the tumor microenvironment of endometrial cancer.

Aging (Albany NY), 2020

Open Access
Cited by 88
Cochrane Library Cochrane Database of Systematic Reviews Interventions for weight reduction in obesity to improve survival in women with endometrial cancer (Review)

Cochrane Database Syst Rev, 2018

Open Access
Cited by 84
Automated segmentation of endometrial cancer on MR images using deep learning.

Sci Rep, 2021

Open Access
Cited by 83
Machine Learning for Endometrial Cancer Prediction and Prognostication.

Front Oncol, 2022

Open Access
Cited by 82
Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study.

PLoS Med, 2020

Open Access
Cited by 74
Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

Sci Rep, 2020

Open Access
Cited by 71
Pembrolizumab plus chemotherapy in advanced or recurrent endometrial cancer: overall survival and exploratory analyses of the NRG GY018 phase 3 randomized trial.

Nat Med, 2025

Open Access
Cited by 71
Proteogenomic insights suggest druggable pathways in endometrial carcinoma.

Cancer Cell, 2023

Open Access
Cited by 60
Prognostic classification of endometrial cancer using a molecular approach based on a twelve-gene NGS panel.

Sci Rep, 2019

Open Access
Cited by 58
Detecting Endometrial Cancer by Blood Spectroscopy: A Diagnostic Cross-Sectional Study.

Cancers (Basel), 2020

Open Access
Cited by 58
The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer

Gynecol Oncol, 2016

Open Access
Cited by 56
ATAD2 overexpression links to enrichment of B-MYB-translational signatures and development of aggressive endometrial carcinoma.

Oncotarget, 2015

Open Access
Cited by 55
The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists.

BMC Med Imaging, 2022

Open Access
Cited by 52
Comprehensive bioinformatics analysis of acquired progesterone resistance in endometrial cancer cell line.

J Transl Med, 2019

Open Access
Cited by 51
Robot-assisted versus laparoscopic minimally invasive surgery for the treatment of stage I endometrial cancer.

Gynecol Oncol, 2022

Open Access
Cited by 50
Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network.

Sci Rep, 2021

Open Access
Cited by 50
Global Trends in Incidence and Mortality Rates of Endometrial Cancer Among Individuals Aged 55 years and Above From 1990 to 2021: An Analysis of the Global Burden of Disease

Int J Womens Health, 2025

Open Access
Cited by 48
Novel miRNA markers for the diagnosis and prognosis of endometrial cancer.

J Cell Mol Med, 2020

Open Access
Cited by 46
Definition of compartment-based radical surgery in uterine cancer: modified radical hysterectomy in intermediate/high-risk endometrial cancer using peritoneal mesometrial resection (PMMR) by M Hockel translated to robotic surgery.

World J Surg Oncol, 2013

Open Access
Cited by 45
A deep learning-based automatic staging method for early endometrial cancer on MRI images.

Front Physiol, 2022

Open Access
Cited by 45
A radiogenomics application for prognostic profiling of endometrial cancer.

Commun Biol, 2021

Open Access
Cited by 45
Artificial intelligence for prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal women

AJOG Glob Rep, 2023

Open Access
Cited by 45
The vaginal microbiome is associated with endometrial cancer grade and histology.

Cancer Res Commun, 2022

Open Access
Cited by 44
The Metabolomic Approach for the Screening of Endometrial Cancer: Validation from a Large Cohort of Women Scheduled for Gynecological Surgery.

Biomolecules, 2022

Open Access
Cited by 43
The application of machine learning for predicting recurrence in patients with early-stage endometrial cancer: a pilot study.

Obstet Gynecol Sci, 2021

Open Access
Cited by 41
AI-based histopathology image analysis reveals a distinct subset of endometrial cancers.

Nat Commun, 2024

Open Access
Cited by 40
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer

NPJ Digit Med, 2024

Open Access
Cited by 37
Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis.

EMBO Mol Med, 2024

Open Access
Cited by 37
Statistical Meta-Analysis of Risk Factors for Endometrial Cancer and Development of a Risk Prediction Model Using an Artificial Neural Network Algorithm.

Cancers (Basel), 2021

Open Access
Cited by 36
Disparities in medical recommendations from AI-based chatbots across different countries/regions.

Sci Rep, 2024

Open Access
Cited by 35
Deep Learning for Intelligent Recognition and Prediction of Endometrial Cancer.

J Healthc Eng, 2021

Open Access
Cited by 35
Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer.

Cancers (Basel), 2021

Open Access
Cited by 35
Metabolomic Biomarkers for the Detection of Obesity-Driven Endometrial Cancer.

Cancers (Basel), 2021

Open Access
Cited by 34
Impact of artificial intelligence on the diagnosis, treatment and prognosis of endometrial cancer.

Ann Med Surg (Lond), 2024

Open Access
Cited by 34
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.

Front Artif Intell, 2020

Open Access
Cited by 34
Sparse feature selection for classification and prediction of metastasis in endometrial cancer.

BMC Genomics, 2017

Open Access
Cited by 33
Detection of endometrial cancer in cervico-vaginal fluid and blood plasma: leveraging proteomics and machine learning for biomarker discovery.

EBioMedicine, 2024

Open Access
Cited by 31
Computer-Aided Segmentation and Machine Learning of Integrated Clinical and Diffusion-Weighted Imaging Parameters for Predicting Lymph Node Metastasis in Endometrial Cancer.

Cancers (Basel), 2021

Open Access
Cited by 31
Minimally invasive surgical approaches for patients with endometrial cancer.

Clin Obstet Gynecol, 2011

Open Access
Cited by 31
miR-497-5p Decreased Expression Associated with High-Risk Endometrial Cancer.

Int J Mol Sci, 2020

Open Access
Cited by 30
Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study.

Front Oncol, 2022

Open Access
Cited by 29
A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.

Int J Gynecol Pathol, 2020

Open Access
Cited by 27
Genetic Polymorphisms of TGFB1, TGFBR1, SNAI1 and TWIST1 Are Associated with Endometrial Cancer Susceptibility in Chinese Han Women.

PLoS One, 2016

Open Access
Cited by 27
Laparotomic versus robotic surgery in elderly patients with endometrial cancer: A systematic review and meta-analysis.

Int J Gynaecol Obstet, 2022

Open Access
Cited by 27
Metabolism pathway-based subtyping in endometrial cancer: An integrated study by multi-omics analysis and machine learning algorithms.

Mol Ther Nucleic Acids, 2024

Open Access
Cited by 27
The evolving role of morphology in endometrial cancer diagnostics: From histopathology and molecular testing towards integrative data analysis by deep learning.

Front Oncol, 2022

Open Access
Cited by 26
Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows

J Clin Med, 2023

Open Access
Cited by 25
Clinical-grade endometrial cancer detection system via whole-slide images using deep learning.

Front Oncol, 2022

Open Access
Cited by 24
Minimally invasive surgery for endometrial cancer: does operative start time impact surgical and oncologic outcomes?

Gynecol Oncol, 2014

Open Access
Cited by 23
Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence.

PLoS One, 2023

Open Access
Cited by 23
Early detection of uterine corpus endometrial carcinoma utilizing plasma cfDNA fragmentomics.

BMC Med, 2024

Open Access
Cited by 23
Prevention of endometrial cancer through lifestyle Interventions: A systematic review and synthesis

Gynecol Oncol Rep, 2022

Open Access
Cited by 22
Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images.

J Cancer Res Clin Oncol, 2023

Open Access
Cited by 22
Oncologic outcomes of robot-assisted laparoscopy versus conventional laparoscopy for the treatment of apparent early-stage endometrioid adenocarcinoma of the uterus.

Gynecol Oncol, 2023

Open Access
Cited by 22
Predictive model for the preoperative assessment and prognostic modeling of lymph node metastasis in endometrial cancer.

Sci Rep, 2022

Open Access
Cited by 22
Prognostic role of computed tomography-based, artificial intelligence-driven waist skeletal muscle volume in uterine endometrial carcinoma.

Insights Imaging, 2021

Open Access
Cited by 22
Quantitative SWATH-based proteomic profiling of urine for the identification of endometrial cancer biomarkers in symptomatic women.

Br J Cancer, 2023

Open Access
Cited by 21
Concurrent Endometrial Cancer in Women with Atypical Endometrial Hyperplasia: What Is the Predictive Value of Patient Characteristics?

Cancers (Basel), 2023

Open Access
Cited by 21
Effects of Weight Loss on Key Obesity-Related Biomarkers Linked to the Risk of Endometrial Cancer: A Systematic Review and Meta-Analysis

Cancers (Basel), 2024

Open Access
Cited by 21
Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review.

Front Oncol, 2023

Open Access
Cited by 21
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools.

Eur Radiol, 2025

Open Access
Cited by 21
Identification and validation of the important role of KIF11 in the development and progression of endometrial cancer.

J Transl Med, 2025

Open Access
Cited by 21
The Histone Methyltransferase SETD8 Regulates the Expression of Tumor Suppressor Genes via H4K20 Methylation and the p53 Signaling Pathway in Endometrial Cancer Cells.

Cancers (Basel), 2022

Open Access
Cited by 20
Deep Learning for Grading Endometrial Cancer.

Am J Pathol, 2024

Open Access
Cited by 20
Lymphovascular space invasion in robotic surgery for endometrial cancer.

JSLS, 2014

Open Access
Cited by 20
Machine learning endometrial cancer risk prediction model: integrating guidelines of European Society for Medical Oncology with the tumor immune framework.

Int J Gynecol Cancer, 2023

Open Access
Cited by 20
Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images.

NPJ Digit Med, 2023

Open Access
Cited by 19
Diagnosis and Prediction of Endometrial Carcinoma Using Machine Learning and Artificial Neural Networks Based on Public Databases.

Genes (Basel), 2022

Open Access
Cited by 19
Sesamolin serves as an MYH14 inhibitor to sensitize endometrial cancer to chemotherapy and endocrine therapy via suppressing MYH9/GSK3beta/beta-catenin signaling.

Cell Mol Biol Lett, 2024

Open Access
Cited by 18
Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides.

NPJ Precis Oncol, 2024

Open Access
Cited by 18
Weakly supervised learning and interpretability for endometrial whole slide image diagnosis.

Exp Biol Med (Maywood), 2022

Open Access
Cited by 17
Comprehensive Analysis of ESRRA in Endometrial Cancer.

Technol Cancer Res Treat, 2021

Open Access
Cited by 17
Construction of a Competitive Endogenous RNA Network in Uterine Corpus Endometrial Carcinoma.

Med Sci Monit, 2019

Open Access
Cited by 17
Detection and Classification of Hysteroscopic Images Using Deep Learning.

Cancers (Basel), 2024

Open Access
Cited by 17
MicroRNA heterogeneity in endometrial cancer cell lines revealed by deep sequencing.

Oncol Lett, 2015

Open Access
Cited by 17
The Role of Immunotherapy in MMR-Deficient Endometrial Carcinoma: State of the Art and Future Perspectives

J Clin Med, 2024

Open Access
Cited by 16
Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer.

Cancer Immunol Immunother, 2025

Open Access
Cited by 15
Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection.

Br J Cancer, 2025

Open Access
Cited by 15
Radiogenomics for predicting microsatellite instability status and PD-L1 expression with machine learning in endometrial cancers: A multicenter study.

Heliyon, 2023

Open Access
Cited by 14
A deep learning-based 3D Prompt-nnUnet model for automatic segmentation in brachytherapy of postoperative endometrial carcinoma.

J Appl Clin Med Phys, 2024

Open Access
Cited by 14
Combined deep-learning MRI-based radiomic models for preoperative risk classification of endometrial endometrioid adenocarcinoma.

Front Oncol, 2023

Open Access
Cited by 14
Estimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features.

BMC Cancer, 2025

Open Access
Cited by 14
Global research trends and focus on immunotherapy for endometrial cancer: a comprehensive bibliometric insight and visualization analysis (2012-2024).

Front Immunol, 2025

Open Access
Cited by 13
Clinically Applicable Pathological Diagnosis System for Cell Clumps in Endometrial Cancer Screening via Deep Convolutional Neural Networks.

Cancers (Basel), 2022

Open Access
Cited by 13
Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.

PLoS One, 2024

Open Access
Cited by 13
Evaluation and Monitoring of Endometrial Cancer Based on Magnetic Resonance Imaging Features of Deep Learning.

Contrast Media Mol Imaging, 2022

Open Access
Cited by 13
High DNA methylation age deceleration defines an aggressive phenotype with immunoexclusion environments in endometrial carcinoma.

Front Immunol, 2023

Open Access
Cited by 13
Machine learning-based neddylation landscape indicates different prognosis and immune microenvironment in endometrial cancer.

Front Oncol, 2023

Open Access
Cited by 12
A Comparative Study of Performance Between Federated Learning and Centralized Learning Using Pathological Image of Endometrial Cancer.

J Imaging Inform Med, 2024

Open Access
Cited by 12
A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images.

Biomed Eng Online, 2023

Open Access
Cited by 12
Construction and verification of an endoplasmic reticulum stress-related prognostic model for endometrial cancer based on WGCNA and machine learning algorithms.

Front Oncol, 2024

Open Access
Cited by 12
ECGene: A Literature-Based Knowledgebase of Endometrial Cancer Genes.

Hum Mutat, 2016

Open Access
Cited by 11
Diagnosis Test Accuracy of Artificial Intelligence for Endometrial Cancer: Systematic Review and Meta-Analysis

J Med Internet Res, 2025

Open Access
Cited by 11
Establishment of the Prognosis Predicting Signature for Endometrial Cancer Patient.

Med Sci Monit, 2019

Open Access
Cited by 11
Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer.

Sci Rep, 2025

Open Access
Cited by 11
Tumor polo-like kinase 4 protein expression reflects lymphovascular invasion, higher Federation of Gynecology and Obstetrics stage, and shortened survival in endometrial cancer patients who undergo surgical resection.

BMC Womens Health, 2024

Open Access
Cited by 10
HTLV-1-associated genes as potential biomarkers for endometrial cancer.

Oncol Lett, 2019

Open Access
Cited by 10
Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence.

Int J Mol Sci, 2022

Open Access
Cited by 10
Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.

Biomed Res Int, 2020

Open Access
Cited by 10
SEOM-GEICO clinical guidelines on endometrial cancer (2025)

Clin Transl Oncol, 2025

Open Access
Cited by 10
Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women.

BMC Med Imaging, 2025

Open Access
Cited by 9
Determination of p53abn endometrial cancer: a multitask analysis using radiological-clinical nomogram on MRI.

Br J Radiol, 2024

Open Access
Cited by 9
Drug discovery in advanced and recurrent endometrial cancer: Recent advances

Oncol Res, 2025

Open Access
Cited by 9
Prediction of Mismatch Repair Status in Endometrial Cancer from Histological Slide Images Using Various Deep Learning-Based Algorithms.

Cancers (Basel), 2024

Open Access
Cited by 9
Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States

Cancer Epidemiol Biomarkers Prev, 2025

Open Access
Cited by 8
Advances in ultrasound-based imaging for diagnosis of endometrial cancer.

World J Radiol, 2025

Open Access
Cited by 8
An artificial immune system with bootstrap sampling for the diagnosis of recurrent endometrial cancers.

Open Med (Wars), 2021

Open Access
Cited by 8
Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer.

Sci Rep, 2024

Open Access
Cited by 8
Biomarkers and immunotherapy in endometrial cancer: mechanisms and clinical applications.

Front Immunol, 2025

Open Access
Cited by 8
Interpretable prognostic modeling of endometrial cancer.

Sci Rep, 2022

Open Access
Cited by 8
Menopausal Status Contributes to Overall Survival in Endometrial Cancer Patients.

Cancers (Basel), 2023

Open Access
Cited by 8
Multiparameter MRI-based radiomics analysis for preoperative prediction of type II endometrial cancer.

Heliyon, 2024

Open Access
Cited by 7
Building a Hand-Curated ceRNET for Endometrial Cancer, Striving for Clinical as Well as Medicolegal Soundness: A Systematic Review.

Noncoding RNA, 2025

Open Access
Cited by 7
Endometrial cancer in women with abnormal uterine bleeding: Data mining classification methods.

Caspian J Intern Med, 2023

Open Access
Cited by 7
Few-shot learning to identify atypical endometrial hyperplasia and endometrial cancer based on transvaginal ultrasonic images.

Heliyon, 2024

Open Access
Cited by 7
Integrated machine learning identifies a cellular senescence-related prognostic model to improve outcomes in uterine corpus endometrial carcinoma.

Front Immunol, 2024

Open Access
Cited by 7
XGBoost-based nomogram for predicting lymph node metastasis in endometrial carcinoma.

Am J Cancer Res, 2024

Open Access
Cited by 6
A distinct mechanism of epigenetic reprogramming silences PAX2 and initiates endometrial carcinogenesis.

J Clin Invest, 2025

Open Access
Cited by 6
A Novel Defined Pyroptosis-Related Gene Signature for Predicting the Prognosis of Endometrial Cancer.

Dis Markers, 2022

Open Access
Cited by 6
A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images.

Sci Rep, 2025

Open Access
Cited by 6
Identification and Validation of a Novel Multiomics Signature for Prognosis and Immunotherapy Response of Endometrial Carcinoma.

J Oncol, 2022

Open Access
Cited by 6
Machine learning-based radiomics model: prognostic prediction and mechanism exploration in patients with endometrial cancer

Biomark Res, 2025

Open Access
Cited by 6
MMRNet: Ensemble deep learning models for predicting mismatch repair deficiency in endometrial cancer from histopathological images.

Cell Rep Med, 2025

Open Access
Cited by 6
Multimodal MRI Image Fusion for Early Automatic Staging of Endometrial Cancer.

Sensors (Basel), 2025

Open Access
Cited by 6
The Analysis of ceRNA Networks and Tumor Microenvironment in Endometrial Cancer.

J Cancer, 2024

Open Access
Cited by 6
Two lncRNA signatures with cuproptosis as a novel prognostic model and clinicopathological value for endometrioid endometrial adenocarcinoma.

Aging (Albany NY), 2023

Open Access
Cited by 5
A deep learning framework for predicting endometrial cancer from cytopathologic images with different staining styles.

PLoS One, 2024

Open Access
Cited by 5
A deep learning-based computer-aided diagnosis system for detecting atypical endometrial hyperplasia and endometrial cancer through hysteroscopy.

iScience, 2025

Open Access
Cited by 5
A radiogenomics study on (18)F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm.

BMC Cancer, 2025

Open Access
Cited by 5
AI-Augmented Advances in the Diagnostic Approaches to Endometrial Cancer.

Cancers (Basel), 2025

Open Access
Cited by 5
Clinical-grade AI model for molecular subtyping of endometrial cancer: a multi-center cohort study in China.

Mol Biomed, 2025

Open Access
Cited by 5
Low Expression of miR-375 and miR-190b Differentiates Grade 3 Patients with Endometrial Cancer.

Biomolecules, 2021

Open Access
Cited by 5
Old Issues and New Perspectives on Endometrial Cancer Therapy: How Molecular Characteristics Are Changing the Therapeutic Pathway

Cancers (Basel), 2024

Open Access
Cited by 5
The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations.

J Imaging Inform Med, 2024

Open Access
Cited by 4
A working group report from the 2024 National Cancer Institute / Gynecologic Cancer Steering Committee endometrial cancer clinical trials planning meeting: refining the approach to endometrial cancer in the immunotherapy era

J Natl Cancer Inst, 2025

Open Access
Cited by 4
Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer.

Sci Rep, 2024

Open Access
Cited by 4
Deciphering pathogenic mechanisms of BDCPP exposure in endometrial cancer progression via an integrated approach combining network toxicology, machine learning, and molecular docking.

Int J Surg, 2026

Open Access
Cited by 4
Integrated Identification and Immunotherapy Response Analysis of the Prognostic Signature Associated With m6A, Cuproptosis-Related, Ferroptosis-Related lncRNA in Endometrial Cancer.

Cancer Rep (Hoboken), 2024

Open Access
Cited by 4
Latent relation shared learning for endometrial cancer diagnosis with incomplete multi-modality medical images.

iScience, 2024

Open Access
Cited by 4
SLC8A1, a novel prognostic biomarker and immunotherapy target in RSA and UCEC based on scRNA-seq and pan-cancer analysis.

Heliyon, 2024

Open Access
Cited by 4
TIME for Endometrial Cancer: Advancements and challenges in therapeutic targets for the endometrial cancer Tumor Immune MicroEnvironment

Cancer Immunol Res, 2025

Open Access
Cited by 4
Updated Guidelines for the Diagnosis and Treatment of Endometrial Carcinoma: The Polish Society of Gynecological Oncology (2025v)

Curr Oncol, 2025

Open Access
Cited by 3
A machine learning-based immune response signature to facilitate prognosis prediction in patients with endometrial cancer.

Sci Rep, 2024

Open Access
Cited by 3
A stemness-based signature with inspiring indications in discriminating the prognosis, immune response, and somatic mutation of endometrial cancer patients revealed by machine learning.

Aging (Albany NY), 2024

Open Access
Cited by 3
Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model.

PLoS One, 2024

Open Access
Cited by 3
End-to-end deep learning method for predicting hormonal treatment response in women with atypical endometrial hyperplasia or endometrial cancer.

J Med Imaging (Bellingham), 2024

Open Access
Cited by 3
Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

Genome Biol, 2025

Open Access
Cited by 3
Obesity management in the setting of endometrial cancer and hyperplasia: A narrative review

Gynecol Oncol Rep, 2025

Open Access
Cited by 3
PD-L1 and PD-1 Expression in Early Stage Uterine Endometrioid Carcinoma.

In Vivo, 2024

Open Access
Cited by 3
Predicted peptide scaffolds for drug screening in endometrial cancer organoids.

Sci Rep, 2025

Open Access
Cited by 3
Prediction of final pathology depending on preoperative myometrial invasion and grade assessment in low-risk endometrial cancer patients: A Korean Gynecologic Oncology Group ancillary study.

PLoS One, 2024

Open Access
Cited by 3
Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

JCO Precis Oncol, 2025

Open Access
Cited by 3
Weakly supervised deep multi-instance learning for classification of endometrial lesions on hematoxylin and eosin-stained whole-slide images.

PLoS One, 2026

Open Access
Cited by 2
Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms.

Front Immunol, 2025

Open Access
Cited by 2
CT radiomics-based explainable machine learning model for accurate differentiation of malignant and benign endometrial tumors: a two-center study.

Biomed Eng Online, 2025

Open Access
Cited by 2
Early detection, clinicopathological subtyping, and prognosis prediction for endometrial cancer patients using fragmentomics liquid biopsy assay.

ESMO Open, 2025

Open Access
Cited by 2
Exploration of shared pathogenic factors and causative genes in early-stage endometrial cancer and osteoarthritis.

Sci Rep, 2025

Open Access
Cited by 2
Homologous recombination repair status in advanced endometrial cancer: an exploratory biomarker analysis from the randomized, phase II MITOEND 3 trial.

ESMO Open, 2025

Open Access
Cited by 2
Hybrid ResNet-ViT Framework for Endometrial Lesion Analysis: A Comparative Study of MRI and CT in Endometrial Cancer Classification.

Int J Womens Health, 2025

Open Access
Cited by 2
Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.

Front Genet, 2025

Open Access
Cited by 2
Long term treatment of advanced endometrial cancer with lenvatinib and pembrolizumab

Gynecol Oncol Rep, 2025

Open Access
Cited by 2
Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach.

Front Oncol, 2025

Open Access
Cited by 2
Shared genes of polycystic ovary syndrome and sedentary behavior as a novel immune landscape biomarker for endometrial cancer.

Sci Rep, 2024

Open Access
Cited by 2
Spatial ecostructural modelling of endometrial cancer identifies the key role of CD90 + CD105 + endothelial cells in tumour heterogeneity and predicts disease recurrence.

Exp Hematol Oncol, 2025

Open Access
Cited by 1
An assisted diagnostic and prognostic model for endometrial cancer using 36 serological markers and clinical variables from 562 patients.

Sci Rep, 2025

Open Access
Cited by 1
Comparing self-reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models.

Mol Oncol, 2025

Open Access
Cited by 1
DCS-NET: a multi-task model for uterine ROI detection and automatic staging of early endometrial cancer in MRI.

Sci Rep, 2025

Open Access
Cited by 1
Deciphering the predictors of endometrial nonbenign lesions in asymptomatic postmenopausal women via explainable machine learning.

Menopause, 2026

Open Access
Cited by 1
Endometrial whole-slide images dataset for detection of malignancy in endometrial biopsies.

Gigascience, 2025

Open Access
Cited by 1
Histopathology Images-Based Deep Learning Prediction of Histological Types in Endometrial Cancer.

Cancer Med, 2026

Open Access
Cited by 1
Identification of endometrial cancer biomarkers using weighted gene coexpression network analysis and machine learning.

BMC Cancer, 2026

Open Access
Cited by 1
Implementation of a Personalized Risk Model for Lymph Node Metastasis in Endometrial Carcinoma: Healthcare Providers' Perspectives on Use, Barriers, and Facilitators.

Cancer Med, 2025

Open Access
Cited by 1
Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.

Sci Rep, 2025

Open Access
Cited by 1
Metabolomics Analysis-Based Machine Learning for Endometrial Cancer Diagnosis: Integration of Biomarker Discovery and Explainable Artificial Intelligence.

J Clin Pract Res, 2025

Open Access
Cited by 1
Mining of clinical and prognosis related genes in the tumor microenvironment of endometrial cancer: A field synopsis of observational study.

Medicine (Baltimore), 2023

Open Access
Cited by 1
Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection.

Front Cell Infect Microbiol, 2025

Open Access
Cited by 1
Navigating the future of fertility preservation: advanced predictive strategies for treatment outcomes of endometrial atypical hyperplasia and carcinoma.

J Gynecol Oncol, 2025

Open Access
Cited by 1
Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms.

Sci Rep, 2023

Open Access
Cited by 1
Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study.

Sci Rep, 2025

Open Access
Cited by 1
Using Machine Learning to Predict the Prognosis in Endometrial Cancer Patients Undergoing Fertility-Sparing Treatment.

Cancer Med, 2025

Open Access
Cited by 1
Utilises Machine Learning Techniques to Deeply Analyse the Role of Lysosome-Dependent Cell Death in Endometrial Cancer and Its Interactions With the Tumour Microenvironment.

J Cell Mol Med, 2025

Open Access
Cited by 0
[Endometrial cancer lesion region segmentation based on large kernel convolution and combined attention].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2025

Open Access
Cited by 0
A Machine Learning Approach to Build and Evaluate a Molecular Prognostic Model for Endometrial Cancer Based on Tumour Microenvironment.

J Cell Mol Med, 2025

Open Access
Cited by 0
An integrated radiomics and deep learning model on multisequence MRI for preoperative prediction of lymphovascular space invasion in endometrial cancer.

BMC Med Imaging, 2025

Open Access
Cited by 0
Artificial intelligence for early endometrial cancer diagnosis using multimodal clinical data: integrating deep learning, explainability, and data privacy.

Front Artif Intell, 2026

Open Access
Cited by 0
Constructing a prediction model for lymph node metastasis in patients with incidental finding of endometrial cancer based on Fully-Connected Network.

J Gynecol Oncol, 2026

Open Access
Cited by 0
Development and validation of a prediction model for lymph node metastasis based on molecular typing in clinically early-stage endometrial carcinoma.

J Gynecol Oncol, 2026

Open Access
Cited by 0
Development and Validation of an Explainable MRI-Based Habitat Radiomics Model for Predicting p53-Abnormal Endometrial Cancer: A Multicentre Feasibility Study.

J Imaging Inform Med, 2026

Open Access
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Early Identification of Endometrial Malignancy in Postmenopausal Women with Asymptomatic Endometrial Thickening: A Novel Explainable Machine Learning Model.

Int J Med Sci, 2026

Open Access
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Establishment of a Model to Predict the Prognosis of Endometrial Carcinoma Using Tumor-Infiltrating Lymphocytes Evaluated With Artificial Intelligence: A Retrospective Analysis.

Cancer Rep (Hoboken), 2026

Open Access
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Improving the diagnosis of endometrial cancer in postmenopausal women in primary care settings using an artificial intelligence-based ultrasound detecting model.

Front Oncol, 2025

Open Access
Cited by 0
Integrative network toxicology and experimental evidence reveal mechanisms underlying diethyl phthalate-induced initiation and progression of endometrial cancer.

Sci Rep, 2026

Open Access
Cited by 0
Precision identification of endometrial malignancy and precancerous lesions: Development of a machine learning model incorporating multidimensional clinical and imaging parameters.

Medicine (Baltimore), 2026

Open Access
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Radiomics-Based Machine Learning for the Detection of Myometrial Invasion in Endometrial Cancer: Systematic Review and Meta-Analysis.

J Med Internet Res, 2025

Open Access
Cited by 0
Ultrasound based radiomics nomogram combined with clinical parameters to predict lymphovascular space invasion in endometrioid adenocarcinoma.

Sci Rep, 2025

Open Access