Cancer Prognosis Models and Machine Learning

Articles published in 2026 in this theme: 13 (scroll down to load remaining articles)

2026

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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