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Physician Confidence in Artificial Intelligence: An Online Mobile Survey

AI would replace doctors in many areas [12-15].

Songhee Oh, Jae Heon Kim, Sung-Woo Choi, Hee Jeong Lee, Jungrak Hong, Soon Hyo Kwon

J Med Internet Res 2019;21(3):e12422

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Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis

Over the past six decades, AI has been widely applied to many areas of medical research and clinical practice. The number of published papers on AI and its impacts has been rapidly growing within the research community over the past decade.

Bach Xuan Tran, Carl A Latkin, Noha Sharafeldin, Katherina Nguyen, Giang Thu Vu, Wilson W S Tam, Ngai-Man Cheung, Huong Lan Thi Nguyen, Cyrus S H Ho, Roger C M Ho

JMIR Med Inform 2019;7(4):e14401

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Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

the ultimate users of medical AI.

Shuqing Gao, Lingnan He, Yue Chen, Dan Li, Kaisheng Lai

J Med Internet Res 2020;22(7):e16649

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Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review

Data retrieved from the studies included the name of the AI application, the study group, the use of AI, and the challenges of implementation as shown in Table 1.Analysis of the ArticlesStudies relevant to the use of AI in medical education were assessed using

Kai Siang Chan, Nabil Zary

JMIR Med Educ 2019;5(1):e13930

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The Perceived Benefits of an Artificial Intelligence–Embedded Mobile App Implementing Evidence-Based Guidelines for the Self-Management of Chronic Neck and Back Pain: Observational Study

During the residential period, the clinical content of the AI-embedded mobile app was determined.

Wai Leung Ambrose Lo, Di Lei, Le Li, Dong Feng Huang, Kin-Fai Tong

JMIR Mhealth Uhealth 2018;6(11):e198

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Medication Use for Childhood Pneumonia at a Children’s Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms

Chunlei Tang, Huajun Sun, Yun Xiong, Jiahong Yang, Christopher Vitale, Lu Ruan, Angela Ai, Guangjun Yu, Jing Ma, David Bates

JMIR Med Inform 2019;7(1):e12577

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Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review

Without an understanding of the existing evidence on this topic, nurses will not fully appreciate the implications of AI for nursing practice, policy, administration, and research.

Christine Buchanan, M Lyndsay Howitt, Rita Wilson, Richard G Booth, Tracie Risling, Megan Bamford

JMIR Nursing 2020;3(1):e23939

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Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study

Finally, patient monitoring produces high-frequency data that are a valid and essential source for clinical decision support systems (CDSS) based on artificial intelligence (AI), opening up many possibilities for precision medicine [7].In the intensive care

Akira-Sebastian Poncette, Lina Mosch, Claudia Spies, Malte Schmieding, Fridtjof Schiefenhövel, Henning Krampe, Felix Balzer

J Med Internet Res 2020;22(6):e19091

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Quality Management, Certification and Rating of Health Information on the Net with MedCERTAIN: Using a medPICS/RDF/XML metadata structure for implementing eHealth ethics and creating trust globally

(Medgate AG, Switzerland), Pål Lindström (LocusMedicus, Sweden), Sándor Lipp (Hungarian Ministry of Health, Hungary), Leena Lodenius (Finnish Duodecim Medical Society, Finland), Antti Malmivaara (Finnish Institute of Occupational Health, Finland), Miquel Angela

Gunther Eysenbach, Gabriel Yihune, Kristian Lampe, Phil Cross, Dan Brickley

J Med Internet Res 2000;2(suppl2):e1

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Artificial Intelligence in Health Care: Bibliometric Analysis

Through an extensive and global review of literature on AI in health care, the purpose of this analysis is to examine the AI research focused on promoting health care.

Yuqi Guo, Zhichao Hao, Shichong Zhao, Jiaqi Gong, Fan Yang

J Med Internet Res 2020;22(7):e18228

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