Artificial Intelligence

Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies Using AI (QUADAS-AI): Protocol for a Qualitative Study

Ahmad Guni, Viknesh Sounderajah, Penny Whiting, Patrick Bossuyt, Ara Darzi, Hutan Ashrafian

JMIR Res Protoc 2024 (Sep 18); 13:e58202

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Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Smriti Ridhi, Dennis Robert, Pitamber Soren, Manish Kumar, Saniya Pawar, Bhargava Reddy

JMIR Form Res 2024 (Aug 21); 8:e55641

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Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study

Mehrnaz Mostafapour, Jacqueline H Fortier, Karen Pacheco, Heather Murray, Gary Garber

JMIR AI 2024 (Aug 19); 3:e56537

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The “Magical Theory” of AI in Medicine: Thematic Narrative Analysis

Giorgia Lorenzini, Laura Arbelaez Ossa, Stephen Milford, Bernice Simone Elger, David Martin Shaw, Eva De Clercq

JMIR AI 2024 (Aug 19); 3:e49795

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Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel

Kathrin Cresswell, Nicolette de Keizer, Farah Magrabi, Robin Williams, Michael Rigby, Mirela Prgomet, Polina Kukhareva, Zoie Shui-Yee Wong, Philip Scott, Catherine K Craven, Andrew Georgiou, Stephanie Medlock, Jytte Brender McNair, Elske Ammenwerth

J Med Internet Res 2024 (Aug 07); 26:e46407

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Assessing Patient Trust in Automation in Health Care Systems: Within-Subjects Experimental Study

Matthew Nare, Katherina Jurewicz

JMIR Hum Factors 2024 (Aug 06); 11:e48584

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Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology

Julius Dingel, Anne-Kathrin Kleine, Julia Cecil, Anna Leonie Sigl, Eva Lermer, Susanne Gaube

J Med Internet Res 2024 (Aug 05); 26:e57224

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Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study

Usman Naseem, Surendrabikram Thapa, Anum Masood

JMIR Med Inform 2024 (Aug 05); 12:e56627

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Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study

Fadi Aljamaan, Mohamad-Hani Temsah, Ibraheem Altamimi, Ayman Al-Eyadhy, Amr Jamal, Khalid Alhasan, Tamer A Mesallam, Mohamed Farahat, Khalid H Malki

JMIR Med Inform 2024 (Jul 31); 12:e54345

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Regulatory Frameworks for AI-Enabled Medical Device Software in China: Comparative Analysis and Review of Implications for Global Manufacturer

Yu Han, Aaron Ceross, Jeroen Bergmann

JMIR AI 2024 (Jul 29); 3:e46871

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Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study

Jingyi Huang, Peiqi Guo, Sheng Zhang, Mengmeng Ji, Ruopeng An

JMIR AI 2024 (Jul 25); 3:e54885

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ChatGPT for Automated Qualitative Research: Content Analysis

Rimke Bijker, Stephanie S Merkouris, Nicki A Dowling, Simone N Rodda

J Med Internet Res 2024 (Jul 25); 26:e59050

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Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study

Annalisa Baronetto, Luisa Graf, Sarah Fischer, Markus F Neurath, Oliver Amft

JMIR AI 2024 (Jul 10); 3:e51118

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The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis

Soheil Hassanipour, Sandeep Nayak, Ali Bozorgi, Mohammad-Hossein Keivanlou, Tirth Dave, Abdulhadi Alotaibi, Farahnaz Joukar, Parinaz Mellatdoust, Arash Bakhshi, Dona Kuriyakose, Lakshmi D Polisetty, Mallika Chimpiri, Ehsan Amini-Salehi

JMIR Med Educ 2024 (Jul 08); 10:e53308

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Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Suncheol Heo, Eun-Ae Kang, Jae Yong Yu, Hae Reong Kim, Suehyun Lee, Kwangsoo Kim, Yul Hwangbo, Rae Woong Park, Hyunah Shin, Kyeongmin Ryu, Chungsoo Kim, Hyojung Jung, Yebin Chegal, Jae-Hyun Lee, Yu Rang Park

JMIR Med Inform 2024 (Jul 05); 12:e47693

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Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research

Kiyoshi Shikino, Taro Shimizu, Yuki Otsuka, Masaki Tago, Hiromizu Takahashi, Takashi Watari, Yosuke Sasaki, Gemmei Iizuka, Hiroki Tamura, Koichi Nakashima, Kotaro Kunitomo, Morika Suzuki, Sayaka Aoyama, Shintaro Kosaka, Teiko Kawahigashi, Tomohiro Matsumoto, Fumina Orihara, Toru Morikawa, Toshinori Nishizawa, Yoji Hoshina, Yu Yamamoto, Yuichiro Matsuo, Yuto Unoki, Hirofumi Kimura, Midori Tokushima, Satoshi Watanuki, Takuma Saito, Fumio Otsuka, Yasuharu Tokuda

JMIR Med Educ 2024 (Jun 21); 10:e58758

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Development of an Artificial Intelligence–Based Tailored Mobile Intervention for Nurse Burnout: Single-Arm Trial

Aram Cho, Chiyoung Cha, Gumhee Baek

J Med Internet Res 2024 (Jun 21); 26:e54029

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A Use Case for Generative AI in Medical Education

Tejas C Sekhar, Yash R Nayak, Emily A Abdoler

JMIR Med Educ 2024 (Jun 07); 10:e56117

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Authors’ Reply: A Use Case for Generative AI in Medical Education

Tricia Pendergrast, Zachary Chalmers

JMIR Med Educ 2024 (Jun 07); 10:e58370

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Mental Wellness Self-Care in Singapore With mindline.sg: A Tutorial on the Development of a Digital Mental Health Platform for Behavior Change

Janice Huiqin Weng, Yanyan Hu, Creighton Heaukulani, Clarence Tan, Julian Kuiyu Chang, Ye Sheng Phang, Priyanka Rajendram, Weng Mooi Tan, Wai Chiong Loke, Robert J T Morris

J Med Internet Res 2024 (Jun 04); 26:e44443

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