Research Methodology - AI

Articles published in 2026 in this theme: 10 (scroll down to load remaining articles)

2026

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Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach

Allison Diane Ihle, Breann Wicks, Vangelis Metsis, Autumn Starfall, Fleur Clapham, Aleksei Gorbachev, Sean Shanley, Christina Strauser, Jacqueline M McGrath

JMIR AI 2026 (Apr 01); 5:e84145

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Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review

Jaime Jamett, Patricio Melendez, Ximena Collao-Ferrada, Karina Cordero-Torres, Alejandro Veloz

JMIR AI 2026 (Mar 25); 5:e83425

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Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults Using Source-Free Domain Adaptation: Algorithm Development and Validation

Ronast Subedi, Shayok Chakraborty, Zhe He, Yuanying Pang, Shenghao Zhang, Mia Liza Lustria, Neil Charness, Walter Boot

JMIR Aging 2026 (Mar 18); 9:e79123

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Evaluation of Smartphone Camera Positioning on Artificial Intelligence Pose Estimation Accuracy for Exercise Detection: Observational Study

Eduarda Oliosi, Soraia Ferreira, Ana Paula Giordano, Guilherme Viveiros, José Parraca, Paulo Pereira, Federico Guede-Fernández, Salomé Azevedo

JMIR Mhealth Uhealth 2026 (Mar 05); 14:e82412

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Enhancing COVID-19 Screening Models With Epidemiological and Mobility Features: Machine-Learning Model Study

Hyunwoo Choo, Dohyung Lee, Soo-Yong Shin, Jiwoo Lee, Duhun Lee, Eonji Kim, Namsoo Oh, Christina Kim, Myeongchan Kim, Hyo Jung Kim

JMIR AI 2026 (Mar 05); 5:e54956

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Clinical Evidence Linkage From the American Society of Clinical Oncology 2024 Conference Poster Images Using Generative AI: Exploratory Observational Study

Carlos Areia, Michael Taylor

JMIR AI 2026 (Feb 05); 5:e78148

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Using AI Algorithms and Machine Learning in the Analysis of a Bio-Purification Method (Therapeutic Emesis, Known as “Vamana Karma”): Protocol for a Mixed Methods Study

Pooja Rani, Sumit Kalra, Sachin Singh, Richard David, Ashutosh Ravi Gupta, Anandaraman P V

JMIR Res Protoc 2026 (Feb 03); 15:e79875

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Explainable Multitask Burnout Prediction Using Adaptive Deep Learning (EMBRACE) for Resident Physicians: Algorithm Development and Validation Study

Saima Alam, Mohammad Arif Ul Alam

JMIR AI 2026 (Jan 08); 5:e57025

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Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19

Samira Malek, Christopher Griffin, Robert D Fraleigh, Robert Lennon, Vishal Monga, Lijiang Shen

J Med Internet Res 2026 (Jan 08); 28:e75500

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Explainable AI–Driven Comparative Analysis of Machine Learning Models for Predicting HIV Viral Nonsuppression in Ugandan Patients: Retrospective Cross-Sectional Study

Francis Ngema, Albert Whata, Micheal O Olusanya, Siyabonga Mhlongo

JMIR AI 2026 (Jan 06); 5:e68196

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