Theme Issue 2025: Artificial Intelligence in Oncology

Articles published in this theme: 11 (scroll down to load remaining articles)

2026

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A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial

Tong Wu, Ting Han, Xiaoju Zhang, Yumei Dai, Xiaoyan Meng

JMIR Mhealth Uhealth 2026 (Mar 10); 14:e72560

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Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non–Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study

Rayan Mubarak, Fahim Islam Anik, Jean T Rodriguez, Nazmus Sakib, Mohammad A Rahman

JMIR Bioinform Biotech 2026 (Jan 13); 7:e70553

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Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study

Marvin N Carlisle, William A Pace, Andrew W Liu, Robert Krumm, Janet E Cowan, Peter R Carroll, Matthew R Cooperberg, Anobel Y Odisho

JMIR Bioinform Biotech 2026 (Jan 06); 7:e70708

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2025

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Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small Cohorts: Model Classification Study

Mahdieh Shabanian, Nima Pouladi, Liam Wilson, Mattia Prosperi, Yves A Lussier

JMIR Bioinform Biotech 2025 (Oct 08); 6:e80735

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Systemic Anticancer Therapy Timelines Extraction From Electronic Medical Records Text: Algorithm Development and Validation

Jiarui Yao, Eli Goldner, Harry Hochheiser, Sean Finan, John Levander, David Harris, Piet C de Groen, Elizabeth Buchbinder, Danielle Bitterman, Jeremy L Warner, Guergana Savova

JMIR Bioinform Biotech 2025 (Sep 03); 6:e67801

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Lung Cancer Diagnosis From Computed Tomography Images Using Deep Learning Algorithms With Random Pixel Swap Data Augmentation: Algorithm Development and Validation Study

Ayomide Adeyemi Abe, Mpumelelo Nyathi

JMIR Bioinform Biotech 2025 (Sep 03); 6:e68848

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Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Clifton P Thornton, Maryam Daniali, Lei Wang, Spandana Makeneni, Allison Barz Leahy

JMIR Bioinform Biotech 2025 (Jul 24); 6:e70751

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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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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study

Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

JMIR Bioinform Biotech 2025 (Mar 13); 6:e65001

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2024

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Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence– and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population

Lu Ji, Yifan Yao, Dandan Yu, Wen Chen, Shanshan Yin, Yun Fu, Shangfeng Tang, Lan Yao

J Med Internet Res 2024 (Nov 20); 26:e51477

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Ethical Considerations in Human-Centered AI: Advancing Oncology Chatbots Through Large Language Models

James C L Chow, Kay Li

JMIR Bioinform Biotech 2024 (Nov 06); 5:e64406

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