Cancer Prognosis Models and Machine Learning

Articles published in this theme: 89 (scroll down to load remaining articles)

2026

View image

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration

Dimitris Fotopoulos, Ioannis Ladakis, Dimitrios Filos, Pedro A Moreno-Sánchez, Mark van Gils, Ioanna Chouvarda

J Med Internet Res 2026 (May 20); 28:e80645

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis

Shewen Lyu, Zepeng Wang, Yujing Mu, Luyao Wang, Xiaohua Pei

J Med Internet Res 2026 (May 06); 28:e91659

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Liquid Biopsy Biomarkers in Patients With Metastatic Castration-Resistant Prostate Cancer Receiving Prostate-Specific Membrane Antigen Radioligand Therapy: Protocol for a Prospective, Longitudinal Multicenter Observational Study

Kerstin Michalski, Theo Lorenzini, Tim Jedamzik, Marieke Heinrich, Aleksander Kosmala, Isabel Rauscher, Mika Bauch, Lena Reichl, Luisa Amann, Simon Liebl, Andreas Buck, Matthias Eiber, Constantin Lapa, Rainer Claus

JMIR Res Protoc 2026 (Apr 29); 15:e86737

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Accuracy of Deep Learning for Detecting Axillary Lymph Node Metastasis in Breast Cancer: Systematic Review and Meta-Analysis

Xueying Wang, Tiantian Li, Xiaohang Wang, Deyuan Fu

J Med Internet Res 2026 (Apr 16); 28:e77593

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Research on Risk Transfer Pathways for Lung Cancer Among Middle-Aged and Older Individuals Using Deep Reinforcement Learning: Retrospective Cohort Study

Songjing Chen, Sizhu Wu

JMIR Med Inform 2026 (Apr 15); 14:e74990

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study

Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R Pond, Lisa Vandermeer, John Hilton, Marie-France Savard, Andreanne LeBlanc, Lois Shepherd, Bingshu Chen, John MS Bartlett, Karen J Taylor, Jane Bayani, Sarah Barker, Melanie Spears, Cornelis JH van der Velde, Elma Meershoek-Klein Kranenbarg, Luc Dirix, Elizabeth Mallon, Annette Hasenburg, Christos Markopoulos, Lamin Juwara, Fida K Dankar, Mark Clemons, Khaled El Emam

J Med Internet Res 2026 (Apr 14); 28:e88665

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Real-World Evidence of Treatment Outcomes in Small Cell Lung Cancer: A Bayesian Mixed Effects and Competitive Risk Approach

Luca Marzano, Asaf Dan, Adam S Darwich, Luigi De Petris, Salomon Tendler, Rolf Lewensohn, Jayanth Raghothama, Sebastiaan Meijer

JMIR Cancer 2026 (Apr 10); 12:e84042

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study

Houwen Long, Feng Ying, Shi Wu, Long Li

JMIR Med Inform 2026 (Apr 07); 14:e73311

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation

Chin-Lin Lee, Tzu-Hsuan Hsu, Yu-Te Wu, Wan-Yuo Guo, Woei-Chyn Chu, Chung-Yueh Lien

JMIR Med Inform 2026 (Apr 06); 14:e78300

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Viewpoint on the Consequences and Mitigation of Cognitive Bias in the Radiological Interpretation of Breast Cancer Imaging Using Artificial Intelligence

Lorenzo Conti, Benedetta Capetti, Ottavia Battaglia, Roberto Grasso, Filippo Pesapane, Dario Monzani, Gabriella Pravettoni

JMIR Med Inform 2026 (Mar 30); 14:e78955

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

A Bilayer Feature Fusion Framework for Pan-Cancer Survival Prediction Based on Multihead Attention and Adaptive Differential Privacy: Model Development and Validation Study

Yun Chen, Zhifang Deng, Lili Wang, Huanhuan Wang, Xiang Wu

JMIR Med Inform 2026 (Mar 30); 14:e83743

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review

Obada Almaabreh, Rukaya Al-Dafi, Aliya Tabassum, Ahmad Othman, Alaa Abd-alrazaq

J Med Internet Res 2026 (Mar 13); 28:e78377

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

CT Radiomics–Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study

Fang-fang Cong, Ke Tian, Qian Gao, Fulin Wang, Peng Sun, Nan Xu

JMIR Med Inform 2026 (Mar 12); 14:e77349

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Knowledge-Guided Explainable Recommendation Tool for Cancer Risk Prediction Models Using Retrieval-Augmented Large Language Models: Development and Validation Study

Shumin Ren, Xin Zheng, Jing Zhao, Jiale Du, Yuxin Zhang, Cheng Bi, Jie Song, Jinyi Zhang, Hongmei Lang, Fan Zhang, Bairong Shen

JMIR Med Inform 2026 (Mar 09); 14:e78519

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Accuracy of Medical Image–Based Deep Learning for Detecting Microvascular Invasion in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis

Wei Feng, Bo Qu, Shuo Han

J Med Internet Res 2026 (Mar 02); 28:e82000

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Survival Prediction in Patients With Bladder Cancer Undergoing Radical Cystectomy Using a Machine Learning Algorithm: Retrospective Single-Center Study

Francesco Andrea Causio, Vittorio De Vita, Andrea Nappi, Melissa Sawaya, Bernardo Rocco, Nazario Foschi, Giuseppe Maioriello, Pierluigi Russo

JMIR Perioper Med 2026 (Feb 19); 9:e86666

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Assessment of Predictive Factors That Shorten Duration of Treatment in Patients With Multiple Myeloma Using AI: Real-World Longitudinal Study Using Data From Medical Data Vision Claims Database

Hiroshi Handa, Tadao Ishida, Shuji Ozaki, Shinsuke Iida, Kittima Wattanakamolkul, Chika Sakai, Kenichi Kato, David Bin-Chia Wu, DaeYoung Yu, Shota Nemoto, Yasuho Yamashita, Takuma Shibahara

JMIR Cancer 2026 (Feb 19); 12:e75586

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Prognostic Value of Dynamic Lactate Dehydrogenase Trends in Immunotherapy for Advanced Esophageal Squamous Cell Carcinoma: Retrospective Cohort Study

Baidong Zhang, Zhichao Kang, Yi Ding, Wang Jing, Alei Feng, Renya Zeng, Jianan Li, Yi Zhao, Yuanliu Nie, Wentao Zhang, Lu Sun, Zhe Yang

JMIR Cancer 2026 (Jan 14); 12:e73576

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset

Polycarp Nalela, Deepthi Rao, Praveen Rao

JMIR Cancer 2026 (Jan 13); 12:e74196

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Hashimoto Thyroiditis and Progression of Papillary Thyroid Cancer: 10-Year Retrospective Cohort Study

Xin Li, Xiangyun Yao, Rui Shan, Fang Mei, Shibing Song, Bangkai Sun, Chunhui Yuan, Zheng Liu

JMIR Cancer 2026 (Jan 06); 12:e80535

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section