Research Methodology - AI

Articles published in this theme: 48 (scroll down to load remaining articles)

2026

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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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2025

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Antidepressant and Antipsychotic Drug Use and Cancer Risk: Protocol for an Overview of Systematic Reviews and Meta-Analyses

Joan Vicent Sánchez-Ortí, Jaume Forés-Martos, Vui Doan, Pablo Vicente-Martínez, Diego Macías Saint-Gerons, María Flores-Rodero, Jon Sánchez-Valle, Patricia Correa-Ghisays, Vicent Balanzá-Martínez, Pau Soldevila-Matías, Joan Vila-Francés, Emilio Soria-Olivas, Alfonso Valencia, Rafael Tabarés-Seisdedos

JMIR Res Protoc 2025 (Dec 23); 14:e78596

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Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist

Dirk Holst, Keno Moenck, Julian Koch, Ole Schmedemann, Thorsten Schüppstuhl

JMIR AI 2025 (Dec 10); 4:e80247

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Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review

Juan B Cabello, Vicente Ruiz Garcia, Miguel Torralba, Miguel Maldonado Fernandez, Marimar Ubeda, Eukene Ansuategui, Luis Ramos-Ruperto, Jose I Emparanza, Iratxe Urreta, Maria Teresa Iglesias, Jose I Pijoan, Amanda Burls

J Med Internet Res 2025 (Dec 08); 27:e77110

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The Validity of Generative Artificial Intelligence in Evaluating Medical Students in Objective Structured Clinical Examination: Experimental Study

Masashi Yokose, Takanobu Hirosawa, Tetsu Sakamoto, Ren Kawamura, Yudai Suzuki, Yukinori Harada, Taro Shimizu

JMIR Form Res 2025 (Dec 04); 9:e79465

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Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review

Nannan Shi, Jiaxian Li, Mengqiu Shang, Weidao Zhang, Kai Xu, Yamin Li, Lina Liang

J Med Internet Res 2025 (Nov 21); 27:e81328

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Examining Transparency in Kidney Transplant Recipient Selection Criteria: Nationwide Cross-Sectional Study

Belen Rivera, Stalin Canizares, Gabriel Cojuc-Konigsberg, Olena Holub, Alex Nakonechnyi, Ritah R Chumdermpadetsuk, Keren Ladin, Devin E Eckhoff, Rebecca Allen, Aditya Pawar

JMIR AI 2025 (Nov 04); 4:e74066

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Free-Text Responses in a Nationally Representative Experimental Survey about End-of-Life Care Choices: ChatGPT-4o-Assisted Qualitative Analytical Study

Elizabeth M Goldberg, Mario Macis, Megan Bounds, Jonathan Gomez Picazo, Lauren Hersch Nicholas

JMIR Aging 2025 (Oct 29); 8:e76335

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Evaluating Large Language Models in Ophthalmology: Systematic Review

Zili Zhang, Haiyang Zhang, Zhe Pan, Zhangqian Bi, Yao Wan, Xuefei Song, Xianqun Fan

J Med Internet Res 2025 (Oct 27); 27:e76947

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Comparison of Japanese Mpox (Monkeypox) Health Education Materials and Texts Created by Artificial Intelligence: Cross-Sectional Quantitative Content Analysis Study

Shinya Ito, Emi Furukawa, Tsuyoshi Okuhara, Hiroko Okada, Takahiro Kiuchi

JMIR AI 2025 (Oct 17); 4:e70604

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Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study

Muhammad Tayyab Zamir, Safir Ullah Khan, Alexander Gelbukh, Edgardo Manuel Felipe Riverón, Irina Gelbukh

JMIR Form Res 2025 (Oct 14); 9:e77482

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Extension of the Consolidated Criteria for Reporting Qualitative Research Guideline to Large Language Models (COREQ+LLM): Protocol for a Multiphase Study

Leonard Fehring, Julian Frings, Paul Rust, Christian Kempny, Petra A Thürmann, Sven Meister

JMIR Res Protoc 2025 (Sep 24); 14:e78682

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