Artificial Intelligence

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Arif Budiarto, Kevin C H Tsang, Andrew M Wilson, Aziz Sheikh, Syed Ahmar Shah

JMIR AI 2023 (Dec 07); 2:e46717

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The Impact of Generative Conversational Artificial Intelligence on the Lesbian, Gay, Bisexual, Transgender, and Queer Community: Scoping Review

Nicola Luigi Bragazzi, Andrea Crapanzano, Manlio Converti, Riccardo Zerbetto, Rola Khamisy-Farah

J Med Internet Res 2023 (Dec 06); 25:e52091

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Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study

Arne Peine, Maike Gronholz, Katharina Seidl-Rathkopf, Thomas Wolfram, Ahmed Hallawa, Annika Reitz, Leo Anthony Celi, Gernot Marx, Lukas Martin

JMIR Med Inform 2023 (Nov 28); 11:e44773

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Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach

Ali Akbar Jamali, Corinne Berger, Raymond J Spiteri

JMIR AI 2023 (Nov 27); 2:e49531

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The Readability and Quality of Web-Based Patient Information on Nasopharyngeal Carcinoma: Quantitative Content Analysis

Denise Jia Yun Tan, Tsz Ki Ko, Ka Siu Fan

JMIR Form Res 2023 (Nov 27); 7:e47762

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Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review

Akon Obu Ekpezu, Isaac Wiafe, Harri Oinas-Kukkonen

JMIR AI 2023 (Nov 22); 2:e46779

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Real-Time Classification of Causes of Death Using AI: Sensitivity Analysis

Patrícia Pita Ferreira, Diogo Godinho Simões, Constança Pinto de Carvalho, Francisco Duarte, Eugénia Fernandes, Pedro Casaca Carvalho, José Francisco Loff, Ana Paula Soares, Maria João Albuquerque, Pedro Pinto-Leite, André Peralta-Santos

JMIR AI 2023 (Nov 22); 2:e40965

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The Potential Influence of AI on Population Mental Health

Catherine K Ettman, Sandro Galea

JMIR Ment Health 2023 (Nov 16); 10:e49936

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A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

Per Nilsen, Petra Svedberg, Margit Neher, Monika Nair, Ingrid Larsson, Lena Petersson, Jens Nygren

JMIR Res Protoc 2023 (Nov 08); 12:e50216

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Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Hazem Lashen, Terrence Lee St John, Y Zaki Almallah, Madhu Sasidhar, Farah E Shamout

JMIR AI 2023 (Nov 06); 2:e45257

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The Impact of Multimodal Large Language Models on Health Care’s Future

Bertalan Meskó

J Med Internet Res 2023 (Nov 02); 25:e52865

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Using HIPAA (Health Insurance Portability and Accountability Act)–Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study

Salman Seyedi, Emily Griner, Lisette Corbin, Zifan Jiang, Kailey Roberts, Luca Iacobelli, Aaron Milloy, Mina Boazak, Ali Bahrami Rad, Ahmed Abbasi, Robert O Cotes, Gari D Clifford

JMIR Ment Health 2023 (Oct 31); 10:e48517

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Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

Pia Hummelsberger, Timo K Koch, Sabrina Rauh, Julia Dorn, Eva Lermer, Martina Raue, Matthias F C Hudecek, Andreas Schicho, Errol Colak, Marzyeh Ghassemi, Susanne Gaube

JMIR AI 2023 (Oct 31); 2:e47353

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Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Bohan Shi, Satvinder Singh Dhaliwal, Marcus Soo, Cheri Chan, Jocelin Wong, Natalie W C Lam, Entong Zhou, Vivien Paitimusa, Kum Yin Loke, Joel Chin, Mei Tuan Chua, Kathy Chiew Suan Liaw, Amos W H Lim, Fadil Fatin Insyirah, Shih-Cheng Yen, Arthur Tay, Seng Bin Ang

JMIR AI 2023 (Oct 27); 2:e48340

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Development, Reliability, and Structural Validity of the Scale for Knowledge, Attitude, and Practice in Ethics Implementation Among AI Researchers: Cross-Sectional Study

Xiaobo Zhang, Ying Gu, Jie Yin, Yuejie Zhang, Cheng Jin, Weibing Wang, Albert Martin Li, Yingwen Wang, Ling Su, Hong Xu, Xiaoling Ge, Chengjie Ye, Liangfeng Tang, Bing Shen, Jinwu Fang, Daoyang Wang, Rui Feng

JMIR Form Res 2023 (Oct 26); 7:e42202

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Guidelines and Standard Frameworks for AI in Medicine: Protocol for a Systematic Literature Review

Kirubel Biruk Shiferaw, Moritz Roloff, Dagmar Waltemath, Atinkut Alamirrew Zeleke

JMIR Res Protoc 2023 (Oct 25); 12:e47105

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Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Matteo Malgaroli, Emily Tseng, Thomas D Hull, Emma Jennings, Tanzeem K Choudhury, Naomi M Simon

JMIR AI 2023 (Oct 24); 2:e47223

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Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review

Carl Preiksaitis, Christian Rose

JMIR Med Educ 2023 (Oct 20); 9:e48785

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Identification of Psycho-Socio-Judicial Trajectories and Factors Associated With Posttraumatic Stress Disorder in People Over 15 Years of Age Who Recently Reported Sexual Assault to a Forensic Medical Center: Protocol for a Multicentric Prospective Study Using Mixed Methods and Artificial Intelligence

Emma Fedele, Victor Trousset, Thibault Schalk, Juliette Oliero, Thomas Fovet, Thomas Lefevre

JMIR Res Protoc 2023 (Oct 16); 12:e46652

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Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study

Queralt Miró Catalina, Joaquim Femenia, Aïna Fuster-Casanovas, Francesc X Marin-Gomez, Anna Escalé-Besa, Jordi Solé-Casals, Josep Vidal-Alaball

J Med Internet Res 2023 (Oct 13); 25:e50728

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