Artificial Intelligence

The Effect of Cognitive Function Health Care Using Artificial Intelligence Robots for Older Adults: Systematic Review and Meta-analysis

Hocheol Lee, Min Ah Chung, Hyeji Kim, Eun Woo Nam

JMIR Aging 2022 (Jun 28); 5(2):e38896

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The AI Will See You Now: Feasibility and Acceptability of a Conversational AI Medical Interviewing System

Grace Hong, Margaret Smith, Steven Lin

JMIR Form Res 2022 (Jun 27); 6(6):e37028

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Triage Errors in Primary and Pre–Primary Care

Hai Nguyen, Andras Meczner, Krista Burslam-Dawe, Benedict Hayhoe

J Med Internet Res 2022 (Jun 24); 24(6):e37209

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Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation

Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, R Andres Floto, Pietro Cicuta, Cecilia Mascolo

J Med Internet Res 2022 (Jun 21); 24(6):e37004

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Toward an Ecologically Valid Conceptual Framework for the Use of Artificial Intelligence in Clinical Settings: Need for Systems Thinking, Accountability, Decision-making, Trust, and Patient Safety Considerations in Safeguarding the Technology and Clinicians

Avishek Choudhury

JMIR Hum Factors 2022 (Jun 21); 9(2):e35421

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The Drivers of Acceptance of Artificial Intelligence–Powered Care Pathways Among Medical Professionals: Web-Based Survey Study

Lisa Cornelissen, Claudia Egher, Vincent van Beek, Latoya Williamson, Daniel Hommes

JMIR Form Res 2022 (Jun 21); 6(6):e33368

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Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis

Ruby Castilla-Puentes, Jacqueline Pesa, Caroline Brethenoux, Patrick Furey, Liliana Gil Valletta, Tatiana Falcone

JMIR Form Res 2022 (Jun 20); 6(6):e33637

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Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

Sedigheh Khademi Habibabadi, Pari Delir Haghighi, Frada Burstein, Jim Buttery

JMIR Med Inform 2022 (Jun 16); 10(6):e34305

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Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Hao Yang, Jiaxi Li, Siru Liu, Xiaoling Yang, Jialin Liu

JMIR Med Inform 2022 (Jun 16); 10(6):e36958

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Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions)

Hajira Dambha-Miller, Glenn Simpson, Ralph K Akyea, Hilda Hounkpatin, Leanne Morrison, Jon Gibson, Jonathan Stokes, Nazrul Islam, Adriane Chapman, Beth Stuart, Francesco Zaccardi, Zlatko Zlatev, Karen Jones, Paul Roderick, Michael Boniface, Miriam Santer, Andrew Farmer

JMIR Res Protoc 2022 (Jun 16); 11(6):e34405

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Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning–Based Approach

Donghun Yang, Jimin Kim, Junsang Yoo, Won Chul Cha, Hyojung Paik

JMIR Med Inform 2022 (Jun 15); 10(6):e37689

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Perspective of Information Technology Decision Makers on Factors Influencing Adoption and Implementation of Artificial Intelligence Technologies in 40 German Hospitals: Descriptive Analysis

Lina Weinert, Julia Müller, Laura Svensson, Oliver Heinze

JMIR Med Inform 2022 (Jun 15); 10(6):e34678

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Emerging Trends and Research Foci in Artificial Intelligence for Retinal Diseases: Bibliometric and Visualization Study

Junqiang Zhao, Yi Lu, Yong Qian, Yuxin Luo, Weihua Yang

J Med Internet Res 2022 (Jun 14); 24(6):e37532

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Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Ryo Fujimori, Keibun Liu, Shoko Soeno, Hiromu Naraba, Kentaro Ogura, Konan Hara, Tomohiro Sonoo, Takayuki Ogura, Kensuke Nakamura, Tadahiro Goto

JMIR Form Res 2022 (Jun 13); 6(6):e36501

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Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation

Kuan-Chen Chin, Yu-Chia Cheng, Jen-Tang Sun, Chih-Yen Ou, Chun-Hua Hu, Ming-Chi Tsai, Matthew Huei-Ming Ma, Wen-Chu Chiang, Albert Y Chen

J Med Internet Res 2022 (Jun 10); 24(6):e30210

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Emerging Artificial Intelligence–Empowered mHealth: Scoping Review

Paras Bhatt, Jia Liu, Yanmin Gong, Jing Wang, Yuanxiong Guo

JMIR Mhealth Uhealth 2022 (Jun 09); 10(6):e35053

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Ageism and Artificial Intelligence: Protocol for a Scoping Review

Charlene H Chu, Kathleen Leslie, Jiamin Shi, Rune Nyrup, Andria Bianchi, Shehroz S Khan, Samira Abbasgholizadeh Rahimi, Alexandra Lyn, Amanda Grenier

JMIR Res Protoc 2022 (Jun 09); 11(6):e33211

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Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial

Fusae Okaniwa, Hiroshi Yoshida

JMIR Form Res 2022 (Jun 08); 6(6):e30630

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Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance

Hong Sun, Kristof Depraetere, Laurent Meesseman, Patricia Cabanillas Silva, Ralph Szymanowsky, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Martijn Vanbiervliet, Jos De Baerdemaeker, Diana M Roccaro-Waldmeyer, Jörg Stieg, Manuel Domínguez Hidalgo, Fried-Michael Dahlweid

J Med Internet Res 2022 (Jun 07); 24(6):e34295

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Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum

Joel Grunhut, Oge Marques, Adam T M Wyatt

JMIR Med Educ 2022 (Jun 07); 8(2):e35587

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