Cancer Prognosis Models and Machine Learning

Articles published in 2025 in this theme: 55 (scroll down to load remaining articles)

2025

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A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

Xu Cheng, Ping Li, Enqing Meng, Xinyi Wu, Hao Wu

JMIR Med Inform 2025 (Dec 22); 13:e82533

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A Machine Learning Approach to Predicting Mortality Risk in Chemotherapy-Treated Lung Cancer: Machine Learning Model Development and Validation

Jianjun Zou, Jinyi Huang, Katie Lu, Ao Lin, Chen Xie, Jinrong Zhang, Boqi Rao, Zhi Li, Dongming Xie, Ling Lu, Feng Luo, Jinbin Chen, Lei Yang, Fuman Qiu, Xin Zhang, Yibin Deng, Jiachun Lu

JMIR Med Inform 2025 (Dec 18); 13:e72424

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Machine Learning–Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation

Samuel Kakraba, Srinivas Ayyadevara, Aayire Yadem Clement, Kuukua Egyinba Abraham, Cesar M Compadre, Robert J Shmookler Reis

JMIR AI 2025 (Dec 03); 4:e77890

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Enabling Just-in-Time Clinical Oncology Analysis With Large Language Models: Feasibility and Validation Study Using Unstructured Synthetic Data

Peter May, Julian Greß, Christoph Seidel, Sebastian Sommer, Markus K Schuler, Sina Nokodian, Florian Schröder, Johannes Jung

JMIR Med Inform 2025 (Dec 01); 13:e78332

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

Wanhao Jiang, Huali Wang, Yumeng Cui

J Med Internet Res 2025 (Nov 27); 27:e78809

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Comparison of Machine Learning Models for Colon Cancer Survival: Predictive Modeling Approach

Reuben Adatorwovor, Motolani E Ogunsanya, Bin Huang, Richard Charnigo, Olufunmilola Abraham

JMIR Cancer 2025 (Nov 26); 11:e72665

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Performance of Retrieval-Augmented Generation Large Language Models in Guideline-Concordant Prostate-Specific Antigen Testing: Comparative Study With Junior Clinicians

Joshua Yi Min Tung, Quan Le, Jinxuan Yao, Yifei Huang, Daniel Yan Zheng Lim, Gerald Gui Ren Sng, Rachel Shu En Lau, Yu Guang Tan, Kenneth Chen, Kae Jack Tay, Jen Hong Tan, John Shyi Peng Yuen, Christopher Wai Sam Cheng, Henry Sun Sien Ho

J Med Internet Res 2025 (Nov 19); 27:e78393

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Model for Predicting Serious Hematological Adverse Events in Individuals With Ovarian Cancer Receiving Poly (Adenosine Diphosphate Ribose) Polymerase Inhibitor Treatment: Prospective Cohort Study

Xiaotong Lian, Yu Lei

JMIR Med Inform 2025 (Nov 12); 13:e72994

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Comparison of Risk Factors, Their Interaction Patterns, and Scoring Systems for Liver Cancer Between Patients With and Those Without Diabetes: Retrospective Cohort Study Using Electronic Health Records and Tree-Structured Algorithms

Sarah Tsz Yui Yau, Chi Tim Hung, Eman Yee Man Leung, Albert Lee, Eng Kiong Yeoh

JMIR Med Inform 2025 (Oct 27); 13:e72239

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Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study

Meng Qing Xu, Zhi Sheng Jiang, Wan Yu Liao, Ying Kang, Xiao Yue Feng, Kang Jiang, Qiong Jiang, Zhuang Zhuang Cong, Jing Luo, Lin Wu, Yi Shen, Fang Yu Wang

JMIR Cancer 2025 (Oct 23); 11:e68027

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Development and Validation of an Extra Spindle Pole Bodies–like 1–Based Diagnostic and Prognostic Model for Hepatitis B Virus–Related Hepatocellular Carcinoma: Retrospective Cohort Study

Lu-Huai Feng, Hengkai Liang, Bobin Hu, Lu Wei, Qingmei Li, Tumei Su, Qianbing Yin, Yanfei Feng, Long Huang, Hongqian Liang, Minghua Su, Jianning Jiang

JMIR Med Inform 2025 (Oct 22); 13:e78354

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Impact of Immune Checkpoint Inhibitors on Second Primary Cancer Risk in Patients With Metastatic Lung Cancer Using Real-World Data From the TriNetX Network: Retrospective Cohort Study

Pierre Heudel, Gema Hernandez, Olivier Denquin, Hugo Crochet, Jean-Yves Blay

JMIR Cancer 2025 (Oct 21); 11:e64900

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Survival Prediction for Postoperative Patients With Kidney Cancer Based on Computed Tomography Radiomics: Retrospective Cohort Study

Guizhen He, Liwen Lai, Guoan Yu, Haowen Pang, Xiaohui Yu, Huaiwen Zhang, Qingxiu Zhu, Yingzi Lv

JMIR Med Inform 2025 (Oct 21); 13:e73162

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Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study

Yao Yao, Xingxing Cen, Lu Gan, Jiehui Jiang, Min Wang, Yinghui Xu, Junyi Yuan

JMIR Med Inform 2025 (Oct 17); 13:e75556

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A Machine Learning–Based Scoring System to Identify High Immunoactivity Microsatellite Stability Tumors by Quantifying Similarity to Microsatellite Instability-High Tumors in Colorectal Cancers: Development and Quantitative Study

Hongkai Yan, Li Jiang, Yaqi Li, Fengchong Wang, Shaobo Mo, Weiqi Sheng, Dan Huang, Junjie Peng

JMIR Form Res 2025 (Oct 16); 9:e66960

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Conversational Artificial Intelligence for Integrating Social Determinants, Genomics, and Clinical Data in Precision Medicine: Development and Implementation Study of the AI-HOPE-PM System

Ei-Wen Yang, Brigette Waldrup, Enrique Velazquez-Villarreal

JMIR Bioinform Biotech 2025 (Oct 10); 6:e76553

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Use of a Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework for Low-Resource Settings: Development and Validation Study

Shao Wei Sean Lam, Min Hun Lee, Michael Dorosan, Samuel Altonji, Hiang Khoon Tan, Walter T Lee

JMIR Form Res 2025 (Oct 07); 9:e66110

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Deep Learning Algorithms in the Diagnosis of Basal Cell Carcinoma Using Dermatoscopy: Systematic Review and Meta-Analysis

Huasheng Liu, Guangqian Shang, Qianqian Shan

J Med Internet Res 2025 (Oct 03); 27:e73541

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Predicting Lymph Node Metastasis in Rectal Cancer: Development and Validation of a Machine Learning Model Using Clinical Data

Wei Hou, Chuangwei Li, Zhen Wang, Wanqin Wang, Shouhong Wan, Bingbing Zou

JMIR Med Inform 2025 (Sep 23); 13:e73765

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Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study

Liwei Wang, Qiuhao Lu, Rui Li, Taylor B Harrison, Heling Jia, Ming Huang, Heidi Dowst, Rui Zhang, Hoda Badr, Jungwei W Fan, Hongfang Liu

JMIR Cancer 2025 (Sep 23); 11:e71102

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