Cancer Prognosis Models and Machine Learning

Serum Alpha-Fetoprotein-Tumor Size Ratio as a Prognostic Marker After Hepatic Resection for Primary Hepatocellular Carcinoma: Propensity Score Matched Retrospective Cohort Study

Shutian Mo, Yongfei He, Tianyi Liang, Guangzhi Zhu, Hao Su, Chuangye Han, Tao Peng

JMIR Cancer 2025 (Aug 26); 11:e64929

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Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review

Daniel Hilbers, Navid Nekain, Alan Bates, John-Jose Nunez

JMIR Cancer 2025 (Aug 22); 11:e74010

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Deep Learning for the Early Detection of Invasive Ductal Carcinoma in Histopathological Images: Convolutional Neural Network Approach With Transfer Learning

Naga Shreya Chilumukuru, Pragya Priyadarshini, Yawo Ezunkpe

JMIR Form Res 2025 (Aug 21); 9:e62996

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A Multimodal Large Language Model as an End-to-End Classifier of Thyroid Nodule Malignancy Risk: Usability Study

Gerald Gui Ren Sng, Yi Xiang, Daniel Yan Zheng Lim, Joshua Yi Min Tung, Jen Hong Tan, Chiaw Ling Chng

JMIR Form Res 2025 (Aug 19); 9:e70863

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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study

Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

JMIR Med Inform 2025 (Aug 19); 13:e75022

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Uncovering the Understanding of the Concept of Patient Similarity in Cancer Research and Treatment: Scoping Review

Iryna Manuilova, Jan Bossenz, Annemarie Bianka Weise, Dominik Boehm, Marvin Döbel, Silke D Werle, Arsenij Ustjanzew, Niklas Reimer, Cosima Strantz, Philipp Unberath, Patrick Metzger, Thomas Pauli, Susann Schulze, Sonja Hiemer, Irmak Oguztürk, Leila Kamkar, Hans A Kestler, Hauke Busch, Benedikt Brors, Jan Christoph

J Med Internet Res 2025 (Aug 18); 27:e71906

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Effectiveness of Radiomics-Based Machine Learning Models in Differentiating Pancreatitis and Pancreatic Ductal Adenocarcinoma: Systematic Review and Meta-Analysis

Lechang Zhang, Dewei Li, Tong Su, Tong Xiao, Shulei Zhao

J Med Internet Res 2025 (Jul 31); 27:e72420

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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study

David Beyer, Evan Delancey, Logan McLeod

JMIR Form Res 2025 (Jul 31); 9:e67457

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Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study

Shelby T Desroches, Alice Huang, Rithvik Ghankot, Steven M Tommasini, Daniel H Wiznia, Frank D Buono

JMIR Hum Factors 2025 (Jul 30); 12:e71728

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Performance of Machine Learning in Diagnosing KRAS (Kirsten Rat Sarcoma) Mutations in Colorectal Cancer: Systematic Review and Meta-Analysis

Kaixin Chen, Yin Qu, Ye Han, Yan Li, Huiyan Gao, De Zheng

J Med Internet Res 2025 (Jul 18); 27:e73528

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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

JMIR Cancer 2025 (Jul 18); 11:e64685

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Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong

Chun Sing Lam, Rong Hua, Herbert Ho-Fung Loong, Chun-Kit Ngan, Yin Ting Cheung

JMIR Cancer 2025 (Jul 16); 11:e71937

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Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis

Shiqi Wang, Na Chai, Jingji Xu, Pengfei Yu, Luguang Huang, Quan Wang, Zhifeng Zhao, Bin Yang, Jiangpeng Wei, Xiangjie Wang, Gang Ji, Minwen Zheng

JMIR Cancer 2025 (Jul 11); 11:e67379

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Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis

Xin Li, Wen-yu Yang, Fan Zhang, Rui Shan, Fang Mei, Shi-Bing Song, Bang-Kai Sun, Jing Chen, Run-ze Hu, Yang Yang, Yi-hang Yang, Jing-yao Liu, Chun-Hui Yuan, Zheng Liu

JMIR Cancer 2025 (Jul 11); 11:e73069

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Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study

Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

JMIR Bioinform Biotech 2025 (Jun 30); 6:e70706

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Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal

Pradeep S Virdee, Kiana K Collins, Claire Friedemann Smith, Xin Yang, Sufen Zhu, Nia Roberts, Jason L Oke, Clare Bankhead, Rafael Perera, FD Richard Hobbs, Brian D Nicholson

JMIR Cancer 2025 (Jun 27); 11:e70275

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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review

Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

JMIR Med Inform 2025 (Jun 19); 13:e68898

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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

JMIR Cancer 2025 (Jun 19); 11:e64506

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Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis

Lizhen She, Yunfeng Li, Hongyong Wang, Jun Zhang, Yuechen Zhao, Jie Cui, Ling Qiu

J Med Internet Res 2025 (Jun 16); 27:e71091

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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods

Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

JMIR Cancer 2025 (Jun 11); 11:e64399

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