This paper is in the following e-collection/theme issue:

Digital Health Reviews (1174) Artificial Intelligence (1186) Clinical Information and Decision Making (1314) Adoption and Change Management of eHealth Systems (670) Decision Support for Health Professionals (1127)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32939, first published .
Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review

Authors of this article:

Han Shi Jocelyn Chew1 Author Orcid Image ;   Palakorn Achananuparp2 Author Orcid Image
Article Authors Cited by (51) Tweetations (17) Metrics

Journals

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  8. Chew H, Gao Y, Shabbir A, Lim S, Geetha K, Kim G, Chong C, Lomanto D, So B. Personal motivation, self-regulation barriers and strategies for weight loss in people with overweight and obesity: a thematic framework analysis. Public Health Nutrition 2022;25(9):2426 View
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  11. Chew H, Koh W, Ng J, Tan K. Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes. Journal of Medical Internet Research 2022;24(9):e40141 View
  12. Guse R, Thiebes S, Hennel P, Rosenkranz C, Sunyaev A. Datenmarktplätze für Künstliche Intelligenz im Gesundheitswesen: Potenziale, Herausforderungen und Strategien zur Bewältigung. HMD Praxis der Wirtschaftsinformatik 2022;59(6):1527 View
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  14. Chew H, Rajasegaran N, Chin Y, Chew W, Kim K. Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e42432 View
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  16. Cinalioglu K, Elbaz S, Sekhon K, Su C, Rej S, Sekhon H. Exploring Differential Perceptions of Artificial Intelligence in Health Care Among Younger Versus Older Canadians: Results From the 2021 Canadian Digital Health Survey. Journal of Medical Internet Research 2023;25:e38169 View
  17. Han S. The Contributions of Information and Communications Technology on the Sustainable Development of Artificial Intelligence in the Medical Field. Journal of Innovation and Development 2023;2(2):86 View
  18. Shahsavar Y, Choudhury A. User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study. JMIR Human Factors 2023;10:e47564 View
  19. Tong W, Wu S, Cheng M, Huang H, Liang J, Li C, Guo H, He D, Liu Y, Xiao H, Hu H, Ruan S, Li M, Lu M, Wang W. Integration of Artificial Intelligence Decision Aids to Reduce Workload and Enhance Efficiency in Thyroid Nodule Management. JAMA Network Open 2023;6(5):e2313674 View
  20. Hua D, Petrina N, Young N, Cho J, Poon S. Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review. Artificial Intelligence in Medicine 2024;147:102698 View
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  22. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association 2023;30(9):1503 View
  23. Jiao W, Zhang X, D’Souza F. The Economic Value and Clinical Impact of Artificial Intelligence in Healthcare: A Scoping Literature Review. IEEE Access 2023;11:123445 View
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  25. Wang X, Luo R, Liu Y, Chen P, Tao Y, He Y. Revealing the complexity of users’ intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations. Information Processing & Management 2023;60(5):103444 View
  26. Sallam M, Salim N, Barakat M, Al-Mahzoum K, Al-Tammemi A, Malaeb D, Hallit R, Hallit S. Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education 2023;9:e48254 View
  27. Durairaj K, Baker O, Bertossi D, Dayan S, Karimi K, Kim R, Most S, Robotti E, Rosengaus F. Artificial Intelligence Versus Expert Plastic Surgeon: Comparative Study Shows ChatGPT “Wins” Rhinoplasty Consultations: Should We Be Worried?. Facial Plastic Surgery & Aesthetic Medicine 2024;26(3):270 View
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  29. Alanzi T, Alhajri A, Almulhim S, Alharbi S, Alfaifi S, Almarhoun E, Mulla R, Alasafra Z, Alalwan Z, Alnasser F, Almukhtar F, Al Ghadeer F, Amro S, Alodhayb I, Alanzi N. Artificial Intelligence and Patient Autonomy in Obesity Treatment Decisions: An Empirical Study of the Challenges. Cureus 2023 View
  30. Meeus M, Beirnaert C, Mahieu L, Laukens K, Meysman P, Mulder A, Van Laere D. Clinical Decision Support for Improved Neonatal Care: The Development of a Machine Learning Model for the Prediction of Late-onset Sepsis and Necrotizing Enterocolitis. The Journal of Pediatrics 2024;266:113869 View
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  32. He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
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  37. Wilkinson L, Dunbar J, Lip G. Clinical Integration of Artificial Intelligence for Breast Imaging. Radiologic Clinics of North America 2024;62(4):703 View
  38. Chew H, Chew N, Loong S, Lim S, Tam W, Chin Y, Chao A, Dimitriadis G, Gao Y, So J, Shabbir A, Ngiam K. Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation. Journal of Medical Internet Research 2024;26:e46036 View
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Books/Policy Documents

  1. Eddine Z. Advanced Bioinspiration Methods for Healthcare Standards, Policies, and Reform. View
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