Research Methodology - AI

Articles published in 2025 in this theme: 25 (scroll down to load remaining articles)

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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Machine Learning in Health Economic Evaluations: Protocol for a Scoping Review

Hanan Daghash, Ashleigh Kernohan, Rosiered Brownson-Smith, Rohan Pandey, Ananya Ananthakrishnan, Cen Cong, Victoria Riccalton, Edward Meinert, Gurdeep S Sagoo

JMIR Res Protoc 2025 (Sep 24); 14:e77494

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Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case Study

Gary Garcia-Molina, Dmytro Guzenko, Susan DeFranco, Mark Aloia, Rajasi Mills, Faisal Mushtaq, Virend K Somers

JMIR AI 2025 (Sep 17); 4:e64018

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Critical Assessment of Large Language Models’ (ChatGPT) Performance in Data Extraction for Systematic Reviews: Exploratory Study

Hesam Mahmoudi, Doris Chang, Hannah Lee, Navid Ghaffarzadegan, Mohammad S Jalali

JMIR AI 2025 (Sep 11); 4:e68097

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Identifying Adverse Drug Events in Clinical Text Using Fine-Tuned Clinical Language Models: Machine Learning Study

Elizaveta Kopacheva, Aron Henriksson, Hercules Dalianis, Tora Hammar, Alisa Lincke

JMIR Form Res 2025 (Sep 11); 9:e71949

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Evaluation of AI Tools Versus the PRISMA Method for Literature Search, Data Extraction, and Study Composition in Glaucoma Systematic Reviews: Content Analysis

Laura Antonia Meliante, Giulia Coco, Alessandro Rabiolo, Stefano De Cillà, Gianluca Manni

JMIR AI 2025 (Sep 05); 4:e68592

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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation

Nithika Vivek, Karthik Ramesh

JMIR AI 2025 (Aug 13); 4:e66561

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Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study

Amani Ameen, Nofe Alganmi, Nada Bajnaid

JMIR Bioinform Biotech 2025 (Aug 12); 6:e70709

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Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study

Jayden Sercombe, Zachary Bryant, Jack Wilson

JMIR Form Res 2025 (Aug 11); 9:e68666

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Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation

Kanato Masayoshi, Masahiro Hashimoto, Naoki Toda, Hirozumi Mori, Goh Kobayashi, Hasnine Haque, Mizuki So, Masahiro Jinzaki

JMIR AI 2025 (Jul 22); 4:e68020

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