Sarcoma

How artificial intelligence is transforming Sarcoma detection, diagnosis, and treatment.

128 Papers Open Access

Showing all 128 papers

Cited by 3679
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

Nat Med, 2001

Open Access
Cited by 588
Sarcoma classification by DNA methylation profiling

Nat Commun, 2021

Open Access
Cited by 203
Analyzing the Interactions of mRNAs and ncRNAs to Predict Competing Endogenous RNA Networks in Osteosarcoma Chemo-Resistance

Mol Ther, 2019

Open Access
Cited by 176
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models

PLoS One, 2019

Open Access
Cited by 131
Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas

PLoS Comput Biol, 2019

Open Access
Cited by 128
A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma

Cancer Imaging, 2020

Open Access
Cited by 108
Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

Br J Surg, 2019

Open Access
Cited by 95
How MicroRNA and Transcription Factor Co-regulatory Networks Affect Osteosarcoma Cell Proliferation

PLoS Comput Biol, 2013

Open Access
Cited by 86
Diagnosis of the Small Round Blue Cell Tumors

J Mol Diagn, 2007

Open Access
Cited by 86
IoMT-Based Osteosarcoma Cancer Detection in Histopathology Images Using Transfer Learning Empowered with Blockchain, Fog Computing, and Edge Computing

Sensors (Basel), 2022

Open Access
Cited by 81
Haptic Robot-assisted Surgery Improves Accuracy of Wide Resection of Bone Tumors: A Pilot Study

Clin Orthop Relat Res, 2013

Open Access
Cited by 80
Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm

Sci Rep, 2021

Open Access
Cited by 76
CT radiomics-based machine learning classification of atypical cartilaginous tumours and appendicular chondrosarcomas

EBioMedicine, 2021

Open Access
Cited by 68
Artificial Neural Network Inference (ANNI): A Study on Gene-Gene Interaction for Biomarkers in Childhood Sarcomas

PLoS One, 2014

Open Access
Cited by 68
Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data

BMC Med Genet, 2014

Open Access
Cited by 67
Emerging Applications of Deep Learning in Bone Tumors: Current Advances and Challenges

Front Oncol, 2022

Open Access
Cited by 64
A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images

Sci Rep, 2024

Open Access
Cited by 64
Identifying osteosarcoma metastasis associated genes by weighted gene co-expression network analysis (WGCNA)

Medicine (Baltimore), 2018

Open Access
Cited by 61
Identification of Key Genes Affecting Results of Hyperthermia in Osteosarcoma Based on Integrative ChIP-Seq/TargetScan Analysis

Med Sci Monit, 2017

Open Access
Cited by 59
Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients

Sci Rep, 2020

Open Access
Cited by 53
A Four-Pseudogene Classifier Identified by Machine Learning Serves as a Novel Prognostic Marker for Survival of Osteosarcoma

Genes (Basel), 2019

Open Access
Cited by 49
Integrated analysis of lncRNA–miRNA–mRNA ceRNA network and the potential prognosis indicators in sarcomas

BMC Med Genomics, 2021

Open Access
Cited by 48
Prediction of Chemotherapy Response of Osteosarcoma Using Baseline 18F-FDG Textural Features Machine Learning Approaches with PCA

Contrast Media Mol Imaging, 2019

Open Access
Cited by 47
Advances in the Preoperative Identification of Uterine Sarcoma

Cancers (Basel), 2022

Open Access
Cited by 46
Imaging update on soft tissue sarcoma

J Clin Orthop Trauma, 2021

Open Access
Cited by 46
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma

Front Oncol, 2019

Open Access
Cited by 45
Distinguishing Ewing sarcoma and osteomyelitis using FTIR spectroscopy

Sci Rep, 2018

Open Access
Cited by 44
MRI-based radiomics to predict lipomatous soft tissue tumors malignancy: a pilot study

Cancer Imaging, 2020

Open Access
Cited by 43
Highly expressed ribosomal protein L34 indicates poor prognosis in osteosarcoma and its knockdown suppresses osteosarcoma proliferation probably through translational control

Sci Rep, 2016

Open Access
Cited by 43
Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Cancers (Basel), 2021

Open Access
Cited by 41
Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction

Am J Pathol, 2022

Open Access
Cited by 41
Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study

BMC Cancer, 2020

Open Access
Cited by 41
Radiologic Assessment of Osteosarcoma Lung Metastases: State of the Art and Recent Advances

Cells, 2021

Open Access
Cited by 40
Auxiliary Segmentation Method of Osteosarcoma MRI Image

Comput Intell Neurosci, 2022

Open Access
Cited by 40
Correlation of histopathology and multi-modal magnetic resonance imaging in childhood osteosarcoma: Predicting tumor response to chemotherapy

PLoS One, 2022

Open Access
Cited by 40
Identification of potential crucial genes and key pathways in osteosarcoma

Hereditas, 2020

Open Access
Cited by 39
A Residual Fusion Network for Osteosarcoma MRI Image Segmentation in Developing Countries

Comput Intell Neurosci, 2022

Open Access
Cited by 39
CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies

Insights Imaging, 2024

Open Access
Cited by 39
Novel computer aided diagnostic models on multimodality medical images to differentiate well differentiated liposarcomas from lipomas approached by deep learning methods

Orphanet J Rare Dis, 2022

Open Access
Cited by 39
Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks

BMC Med Inform Decis Mak, 2020

Open Access
Cited by 38
An imprinted non-coding genomic cluster at 14q32 defines clinically relevant molecular subtypes in osteosarcoma across multiple independent datasets

J Hematol Oncol, 2017

Open Access
Cited by 38
Identification of potential crucial genes and construction of microRNA-mRNA negative regulatory networks in osteosarcoma

Hereditas, 2018

Open Access
Cited by 38
Identifying squalene epoxidase as a metabolic vulnerability in high-risk osteosarcoma using an artificial intelligence-derived prognostic index

Clin Transl Med, 2024

Open Access
Cited by 33
A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing's Sarcoma

Front Med (Lausanne), 2022

Open Access
Cited by 33
An immune-related gene signature for determining Ewing sarcoma prognosis based on machine learning

J Cancer Res Clin Oncol, 2021

Open Access
Cited by 33
Gene Expression Profiling of Solitary Fibrous Tumors

PLoS One, 2013

Open Access
Cited by 30
A Novel Deep Learning-Based Mitosis Recognition Approach and Dataset for Uterine Leiomyosarcoma Histopathology

Cancers (Basel), 2022

Open Access
Cited by 30
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones

EBioMedicine, 2024

Open Access
Cited by 29
Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma

Sci Rep, 2017

Open Access
Cited by 28
Development of a deep learning method for improving diagnostic accuracy for uterine sarcoma cases

Sci Rep, 2022

Open Access
Cited by 28
Development of a prognostic gene signature based on an immunogenomic infiltration analysis of osteosarcoma

J Cell Mol Med, 2020

Open Access
Cited by 28
Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1

Neuro Oncol, 2022

Open Access
Cited by 28
Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach

Mol Imaging Biol, 2023

Open Access
Cited by 27
Application of Immune Infiltration Signature and Machine Learning Model in the Differential Diagnosis and Prognosis of Bone-Related Malignancies

Front Cell Dev Biol, 2021

Open Access
Cited by 26
Clinicopathological features of fibrosarcomatous dermatofibrosarcoma protuberans and the construction of a back-propagation neural network recognition model

Orphanet J Rare Dis, 2021

Open Access
Cited by 26
Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma

Front Med (Lausanne), 2022

Open Access
Cited by 26
Identification of Key Genes and miRNAs in Osteosarcoma

Biomed Res Int, 2018

Open Access
Cited by 26
Quantification of the Heterogeneity of Prognostic Cellular Biomarkers in Ewing Sarcoma Using Automated Image and Random Survival Forest Analysis

PLoS One, 2014

Open Access
Cited by 26
Radiomics Models for the Preoperative Prediction of Pelvic and Sacral Tumor Types: A Single-Center Retrospective Study of 795 Cases

Front Oncol, 2021

Open Access
Cited by 25
Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma

BMC Cancer, 2019

Open Access
Cited by 25
Unlocking the Power of Benchmarking: Real-World-Time Data Analysis for Enhanced Sarcoma Patient Outcomes

Cancers (Basel), 2023

Open Access
Cited by 22
A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults

Aging (Albany NY), 2020

Open Access
Cited by 22
Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning

Molecules, 2019

Open Access
Cited by 21
The role of SPI1-TYROBP-FCER1G network in oncogenesis and prognosis of osteosarcoma, and its association with immune infiltration

BMC Cancer, 2022

Open Access
Cited by 20
Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis

Int J Mol Sci, 2020

Open Access
Cited by 19
Imaging diagnosis and differential diagnosis of extraskeletal osteosarcoma

BMC Cancer, 2024

Open Access
Cited by 18
Identification of risk model based on glycolysis-related genes in the metastasis of osteosarcoma

Front Endocrinol (Lausanne), 2022

Open Access
Cited by 18
MicroRNA-mRNA networks define translatable molecular outcome phenotypes in osteosarcoma

Sci Rep, 2020

Open Access
Cited by 17
Artificial intelligence significantly improves the diagnostic accuracy of deep myxoid soft tissue lesions in histology

Sci Rep, 2022

Open Access
Cited by 17
Transcriptomic analysis associated with reversal of cisplatin sensitivity in drug resistant osteosarcoma cells after a drug holiday

BMC Cancer, 2019

Open Access
Cited by 15
iTRAQ-based proteomic analysis of the molecular mechanisms and downstream effects of fatty acid synthase in osteosarcoma cells

J Clin Lab Anal, 2021

Open Access
Cited by 15
RNA Sequencing of Osteosarcoma Gene Expression Profile Revealed that miR-214-3p Facilitates Osteosarcoma Cell Proliferation via Targeting Ubiquinol-Cytochrome c Reductase Core Protein 1 (UQCRC1)

Med Sci Monit, 2019

Open Access
Cited by 13
Integrating artificial intelligence in osteosarcoma prognosis: the prognostic significance of SERPINE2 and CPT1B biomarkers

Sci Rep, 2024

Open Access
Cited by 13
Preoperative Classification of Peripheral Nerve Sheath Tumors on MRI Using Radiomics

Cancers (Basel), 2024

Open Access
Cited by 12
Artificial intelligence reveals dysregulation of osteosarcoma and cuproptosis-related biomarkers, PDHA1, CDKN2A and neutrophils

Sci Rep, 2023

Open Access
Cited by 12
Automated Classification of Osteosarcoma and Benign Tumors using RNA-seq and Plain X-ray

Annu Int Conf IEEE Eng Med Biol Soc, 2020

Open Access
Cited by 12
Deep Domain Adversarial Learning for Species-Agnostic Classification of Histologic Subtypes of Osteosarcoma

Am J Pathol, 2023

Open Access
Cited by 11
Machine learning survival prediction using tumor lipid metabolism genes for osteosarcoma

Sci Rep, 2024

Open Access
Cited by 11
Stemness Subtypes and Scoring System Predict Prognosis and Efficacy of Immunotherapy in Soft Tissue Sarcoma

Front Immunol, 2022

Open Access
Cited by 8
Anemia Risk Prediction Model for Osteosarcoma Patients Post‐Chemotherapy Using Artificial Intelligence

Cancer Med, 2024

Open Access
Cited by 8
Bayesian unsupervised clustering identifies clinically relevant osteosarcoma subtypes

Brief Bioinform, 2024

Open Access
Cited by 8
Enhancing bone cancer detection through optimized pre trained deep learning models and explainable AI using the osteosarcoma tumor assessment dataset

Sci Rep, 2025

Open Access
Cited by 8
Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis

BMC Med Inform Decis Mak, 2020

Open Access
Cited by 8
Explainable Model Using Shapley Additive Explanations Approach on Wound Infection after Wide Soft Tissue Sarcoma Resection: “Big Data” Analysis Based on Health Insurance Review and Assessment Service Hub

Medicina (Kaunas), 2024

Open Access
Cited by 7
An Immune-Related Long Non-Coding RNA Signature to Predict the Prognosis of Ewing's Sarcoma Based on a Machine Learning Iterative Lasso Regression

Front Cell Dev Biol, 2021

Open Access
Cited by 7
Beyond the sarcoma center: establishing the Sarcoma HASM network-a Hub and Spoke Model network for global integrated and precision care

ESMO Open, 2024

Open Access
Cited by 7
Primary extraskeletal osteosarcoma of the seminal vesicle: a case report and literature review

Ann R Coll Surg Engl, 2011

Open Access
Cited by 6
Antibody profiling and predictive modeling discriminate between Kaposi sarcoma and asymptomatic KSHV infection

PLoS Pathog, 2024

Open Access
Cited by 6
Current Position of Nuclear Medicine Imaging in Primary Bone Tumors

Diagnostics (Basel), 2025

Open Access
Cited by 6
Genomic, Epigenomic, and Transcriptomic Inter- and Intratumor Heterogeneity in Desmoid Tumors

Clin Cancer Res, 2025

Open Access
Cited by 5
Development and experimental validation of hypoxia-related gene signatures for osteosarcoma diagnosis and prognosis based on WGCNA and machine learning

Sci Rep, 2024

Open Access
Cited by 5
Machine Learning-Supported Diagnosis of Small Blue Round Cell Sarcomas Using Targeted RNA Sequencing

J Mol Diagn, 2024

Open Access
Cited by 5
Novel machine‐learning prediction tools for overall survival of patients with chondrosarcoma: Based on recursive partitioning analysis

Cancer Med, 2024

Open Access
Cited by 5
OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma

Genes (Basel), 2020

Open Access
Cited by 5
Personalized Identification of Differentially Expressed Modules in Osteosarcoma

Med Sci Monit, 2017

Open Access
Cited by 5
Untargeted Metabolomics and Liquid Biopsy Investigation of Circulating Biomarkers in Soft Tissue Sarcoma

Cancers (Basel), 2025

Open Access
Cited by 4
Deep learning for automated segmentation of central cartilage tumors on MRI

Eur Radiol Exp, 2025

Open Access
Cited by 4
Development of a prognostic Neutrophil Extracellular Traps related lncRNA signature for soft tissue sarcoma using machine learning

Front Immunol, 2023

Open Access
Cited by 4
Explainable machine learning predicts survival of retroperitoneal liposarcoma: A study based on the SEER database and external validation in China

Cancer Med, 2024

Open Access
Cited by 4
Landscape of ultra-rare sarcomas: a nationwide study for epidemiology and prognosis

ESMO Open, 2025

Open Access
Cited by 4
Quality appraisal of radiomics-based studies on chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS)

Insights Imaging, 2025

Open Access
Cited by 4
Radiomics in Soft Tissue Sarcoma: Toward Precision Imaging in Oncology

Cancers (Basel), 2025

Open Access
Cited by 4
Rapid Classification of Sarcomas Using Methylation Fingerprint: A Pilot Study

Cancers (Basel), 2023

Open Access
Cited by 4
Single-cell and spatial transcriptomics reveal post-translational modifications in osteosarcoma progression and tumor microenvironment

PLoS One, 2025

Open Access
Cited by 4
Transcriptomic-Based Classification Identifies Prognostic Subtypes and Therapeutic Strategies in Soft Tissue Sarcomas

Cancers (Basel), 2025

Open Access
Cited by 4
Whole‑exome evolutionary profiling of osteosarcoma uncovers metastasis‑related driver mutations and generates an independently validated predictive classifier

J Transl Med, 2025

Open Access
Cited by 3
Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping

J Pers Med, 2025

Open Access
Cited by 3
Diagnosis of chondrosarcoma in a noninvasive way using volatile organic compounds in exhaled breath: a pilot study

Future Oncol, 2024

Open Access
Cited by 3
High visceral-to-subcutaneous fat area ratio is an unfavorable prognostic indicator in patients with uterine sarcoma

Jpn J Radiol, 2025

Open Access
Cited by 3
Integrated multi-omics analysis and machine learning identify G protein-coupled receptor-related signatures for diagnosis and clinical benefits in soft tissue sarcoma

Front Immunol, 2025

Open Access
Cited by 3
Radiotherapy for primary bone tumors: current techniques and integration of artificial intelligence—a review

Front Oncol, 2025

Open Access
Cited by 2
Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma

Eur Radiol, 2026

Open Access
Cited by 2
Integrated single-cell and bulk RNA-seq analysis reveals prognostic stemness genes in leiomyosarcoma

Front Oncol, 2025

Open Access
Cited by 1
A novel classification predicts prognosis and drug sensitivity in osteosarcoma based on alterations in gene sets

Aging (Albany NY), 2024

Open Access
Cited by 1
An Explainable Radiomics-Based Classification Model for Sarcoma Diagnosis

Diagnostics (Basel), 2025

Open Access
Cited by 1
Developing a deep learning-based imaging diagnostic framework, PVDNet, for differentiating pulmonary artery sarcoma and pulmonary thromboembolism: a multi-center observational study

Lancet Reg Health West Pac, 2025

Open Access
Cited by 1
Evaluation of the accuracy of algorithms to identify soft tissue sarcoma (STS) in administrative claims

Clin Sarcoma Res, 2020

Open Access
Cited by 1
Integration of an OS-Based Machine Learning Score (AS Score) and Immunoscore as Ancillary Tools for Predicting Immunotherapy Response in Sarcomas

Cancers (Basel), 2025

Open Access
Cited by 1
Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma Classification

medRxiv, 2025

Open Access
Cited by 1
Suspicion for Sarcoma: Clinical Presentation, Multi-Modality Imaging Evaluation, and Ultrasound Artificial Intelligence-Based Decision Support

Cancers (Basel), 2025

Open Access
Cited by 1
The diagnostic landscape of bone and soft tissue sarcoma: the pan‐sarcoma era and AI‐driven classification

J Pathol Clin Res, 2025

Open Access
Cited by 0
Artificial intelligence and radiomics in desmoid-type fibromatosis: are we there yet?

Future Oncol, 2025

Open Access
Cited by 0
Case Report: Primary intravenous synovial sarcoma in the proximal great vein: a case report and literature review

Front Oncol, 2025

Open Access
Cited by 0
Construction of a glycosylation-related prognostic signature for predicting prognosis, tumor microenvironment, and immune response in soft tissue sarcoma

Front Oncol, 2025

Open Access
Cited by 0
Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi‐Omics Analysis

FASEB J, 2025

Open Access
Cited by 0
Histological Grade, Tumor Breadth, and Hypertension Predict Early Recurrence in Pediatric Sarcoma: A LASSO-Regularized Micro-Cohort Study

Children (Basel), 2025

Open Access
Cited by 0
Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma

Discov Oncol, 2025

Open Access
Cited by 0
Predicting Tolerance to Anthracycline Chemotherapy Using Electrocardiogram-Based Artificial Intelligence in Sarcoma

Mayo Clin Proc Digit Health, 2025

Open Access