Artificial Intelligence

Development and Validation of a Literature Screening Tool: Few-Shot Learning Approach in Systematic Reviews

Phongphat Wiwatthanasetthakarn, Wanchana Ponthongmak, Panu Looareesuwan, Amarit Tansawet, Pawin Numthavaj, Gareth J McKay, John Attia, Ammarin Thakkinstian

J Med Internet Res 2024 (Dec 11); 26:e56863

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Large Language Models and Empathy: Systematic Review

Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander Charney, Girish Nadkarni, Eyal Klang

J Med Internet Res 2024 (Dec 11); 26:e52597

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Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study

Seungbeom Cho, Mangyeong Lee, Jaewook Yu, Junghee Yoon, Jae-Boong Choi, Kyu-Hwan Jung, Juhee Cho

J Med Internet Res 2024 (Dec 11); 26:e63892

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Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis

Zhuan Zou, Bin Chen, Dongqiong Xiao, Fajuan Tang, Xihong Li

J Med Internet Res 2024 (Dec 11); 26:e55986

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EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model

Xiaolan Chen, Ziwei Zhao, Weiyi Zhang, Pusheng Xu, Yue Wu, Mingpu Xu, Le Gao, Yinwen Li, Xianwen Shang, Danli Shi, Mingguang He

J Med Internet Res 2024 (Dec 11); 26:e60063

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Testing 3 Modalities (Voice Assistant, Chatbot, and Mobile App) to Assist Older African American and Black Adults in Seeking Information on Alzheimer Disease and Related Dementias: Wizard of Oz Usability Study

Cristina Bosco, Fereshtehossadat Shojaei, Alec Andrew Theisz, John Osorio Torres, Bianca Cureton, Anna K Himes, Nenette M Jessup, Priscilla A Barnes, Yvonne Lu, Hugh C Hendrie, Carl V Hill, Patrick C Shih

JMIR Form Res 2024 (Dec 09); 8:e60650

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Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Vikash Gupta, Barbaros Erdal, Carolina Ramirez, Ralf Floca, Bradley Genereaux, Sidney Bryson, Christopher Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, Hyeonhoon Lee, M Jorge Cardoso, Sebastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib

JMIR AI 2024 (Dec 09); 3:e55833

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Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

Jiakun Zheng, Junjie Wang, Jing Shen, Ruopeng An

J Med Internet Res 2024 (Nov 28); 26:e54557

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Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study

Kyungchul Song, Taehoon Ko, Hyun Wook Chae, Jun Suk Oh, Ho-Seong Kim, Hyun Joo Shin, Jeong-Ho Kim, Ji-Hoon Na, Chae Jung Park, Beomseok Sohn

J Med Internet Res 2024 (Nov 27); 26:e54641

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A Taxonomy and Archetypes of AI-Based Health Care Services: Qualitative Study

Marlene Blaß, Henner Gimpel, Philip Karnebogen

J Med Internet Res 2024 (Nov 27); 26:e53986

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Comparative Analysis of Diagnostic Performance: Differential Diagnosis Lists by LLaMA3 Versus LLaMA2 for Case Reports

Takanobu Hirosawa, Yukinori Harada, Kazuki Tokumasu, Tatsuya Shiraishi, Tomoharu Suzuki, Taro Shimizu

JMIR Form Res 2024 (Nov 19); 8:e64844

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Benefits and Risks of AI in Health Care: Narrative Review

Margaret Chustecki

Interact J Med Res 2024 (Nov 18); 13:e53616

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Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Annette Brons, Shihan Wang, Bart Visser, Ben Kröse, Sander Bakkes, Remco Veltkamp

J Med Internet Res 2024 (Nov 15); 26:e47774

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AI Governance: A Challenge for Public Health

Jennifer K Wagner, Megan Doerr, Cason D Schmit

JMIR Public Health Surveill 2024 (Sep 30); 10:e58358

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Using Natural Language Processing (GPT-4) for Computed Tomography Image Analysis of Cerebral Hemorrhages in Radiology: Retrospective Analysis

Daiwen Zhang, Zixuan Ma, Ru Gong, Liangliang Lian, Yanzhuo Li, Zhenghui He, Yuhan Han, Jiyuan Hui, Jialin Huang, Jiyao Jiang, Weiji Weng, Junfeng Feng

J Med Internet Res 2024 (Sep 26); 26:e58741

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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 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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