Artificial Intelligence

A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review

Zhaoxin Wang, Wenwen Yang, Zhengyu Li, Ze Rong, Xing Wang, Jincong Han, Lei Ma

J Med Internet Res 2024 (Sep 10); 26:e59711

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Prompt Engineering Paradigms for Medical Applications: Scoping Review

Jamil Zaghir, Marco Naguib, Mina Bjelogrlic, Aurélie Névéol, Xavier Tannier, Christian Lovis

J Med Internet Res 2024 (Sep 10); 26:e60501

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Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Alaa Abd-alrazaq, Hania Aslam, Rawan AlSaad, Mohammed Alsahli, Arfan Ahmed, Rafat Damseh, Sarah Aziz, Javaid Sheikh

J Med Internet Res 2024 (Sep 10); 26:e58187

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Quality and Accountability of ChatGPT in Health Care in Low- and Middle-Income Countries: Simulated Patient Study

Yafei Si, Yuyi Yang, Xi Wang, Jiaqi Zu, Xi Chen, Xiaojing Fan, Ruopeng An, Sen Gong

J Med Internet Res 2024 (Sep 09); 26:e56121

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Practical Applications of Large Language Models for Health Care Professionals and Scientists

Florian Reis, Christian Lenz, Manfred Gossen, Hans-Dieter Volk, Norman Michael Drzeniek

JMIR Med Inform 2024 (Sep 05); 12:e58478

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Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review

Tabea Rambach, Patricia Gleim, Sekina Mandelartz, Carolin Heizmann, Christophe Kunze, Philipp Kellmeyer

JMIR Res Protoc 2024 (Sep 05); 13:e58185

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An Advanced Machine Learning Model for a Web-Based Artificial Intelligence–Based Clinical Decision Support System Application: Model Development and Validation Study

Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Cherng-Lih Perng, Guo-Shiou Liao, Jyh-Cherng Yu, Ming-Shen Dai, Cheng-Ping Yu, Hung-Sheng Shang

J Med Internet Res 2024 (Sep 04); 26:e56022

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Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Meicheng Yang, Jinqiang Zhuang, Wenhan Hu, Jianqing Li, Yu Wang, Zhongheng Zhang, Chengyu Liu, Hui Chen

J Med Internet Res 2024 (Sep 04); 26:e54621

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Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study

Seyma Handan Akyon, Fatih Cagatay Akyon, Ahmet Sefa Camyar, Fatih Hızlı, Talha Sari, Şamil Hızlı

JMIR Med Inform 2024 (Sep 04); 12:e59258

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The Application of Mask Region-Based Convolutional Neural Networks in the Detection of Nasal Septal Deviation Using Cone Beam Computed Tomography Images: Proof-of-Concept Study

Shishir Shetty, Auwalu Saleh Mubarak, Leena R David, Mhd Omar Al Jouhari, Wael Talaat, Natheer Al-Rawi, Sausan AlKawas, Sunaina Shetty, Dilber Uzun Ozsahin

JMIR Form Res 2024 (Sep 03); 8:e57335

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Implementation of Artificial Intelligence–Based Diabetic Retinopathy Screening in a Tertiary Care Hospital in Quebec: Prospective Validation Study

Fares Antaki, Imane Hammana, Marie-Catherine Tessier, Andrée Boucher, Maud Laurence David Jetté, Catherine Beauchemin, Karim Hammamji, Ariel Yuhan Ong, Marc-André Rhéaume, Danny Gauthier, Mona Harissi-Dagher, Pearse A Keane, Alfons Pomp

JMIR Diabetes 2024 (Sep 03); 9:e59867

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Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study

Huan Zhou, Cheng Fang, Yifeng Pan

JMIR Hum Factors 2024 (Aug 30); 11:e62866

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Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection

Sedigh Khademi, Christopher Palmer, Muhammad Javed, Gerardo Luis Dimaguila, Hazel Clothier, Jim Buttery, Jim Black

JMIR AI 2024 (Aug 30); 3:e54449

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Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data

Young-Taek Park, Donghan Kim, Ji Soo Jeon, Kwang Gi Kim

J Med Internet Res 2024 (Aug 30); 26:e46608

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Ethics and Governance of Neurotechnology in Africa: Lessons From AI

Damian Eke

JMIR Neurotech 2024 (Aug 29); 3:e56665

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Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods

Arnold Kamis, Nidhi Gadia, Zilin Luo, Shu Xin Ng, Mansi Thumbar

JMIR AI 2024 (Aug 29); 3:e58455

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Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review

Masooma Hassan, Andre Kushniruk, Elizabeth Borycki

JMIR Hum Factors 2024 (Aug 29); 11:e48633

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Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review

Michael Hindelang, Sebastian Sitaru, Alexander Zink

JMIR Med Inform 2024 (Aug 29); 12:e56628

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Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Cheng Fang, Xiao Ji, Yifeng Pan, Guanchao Xie, Hongsheng Zhang, Sai Li, Jinghai Wan

J Med Internet Res 2024 (Aug 28); 26:e54944

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Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies

Tianhui Xu, Huiting Weng, Fang Liu, Li Yang, Yuanyuan Luo, Ziwei Ding, Qin Wang

J Med Internet Res 2024 (Aug 28); 26:e57896

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