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

Reviews in Medical Informatics (82) Artificial Intelligence (1186) Participatory Medicine & E-Patients (758)

Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13445, first published .
The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review

Authors of this article:

Stephanie Aboueid1 Author Orcid Image ;   Rebecca H Liu2 Author Orcid Image ;   Binyam Negussie Desta1 Author Orcid Image ;   Ashok Chaurasia1 Author Orcid Image ;   Shanil Ebrahim3, 4 Author Orcid Image
Article Authors Cited by (36) Tweetations (9) Metrics

Journals

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  10. Wetzel A, Koch R, Preiser C, Müller R, Klemmt M, Ranisch R, Ehni H, Wiesing U, Rieger M, Henking T, Joos S. Ethical, Legal, and Social Implications of Symptom Checker Apps in Primary Health Care (CHECK.APP): Protocol for an Interdisciplinary Mixed Methods Study. JMIR Research Protocols 2022;11(5):e34026 View
  11. Aboueid S, Meyer S, Wallace J, Chaurasia A, Dragan D. Latent classes associated with the intention to use a symptom checker for self-triage. PLOS ONE 2021;16(11):e0259547 View
  12. Ruyobeza B, Grobbelaar S, Botha A. Hurdles to developing and scaling remote patients’ health management tools and systems: a scoping review. Systematic Reviews 2022;11(1) View
  13. Drydakis N. M-health Apps and Physical and Mental Health Outcomes of Sexual Minorities. Journal of Homosexuality 2023;70(14):3421 View
  14. Zigarelli A, Jia Z, Lee H. Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study. JMIR Formative Research 2022;6(3):e29967 View
  15. Ho A. Can Public Health Investment and Oversight save Digital Mental Health?. AJOB Neuroscience 2022;13(3):201 View
  16. Pairon A, Philips H, Verhoeven V. A scoping review on the use and usefulness of online symptom checkers and triage systems: How to proceed?. Frontiers in Medicine 2023;9 View
  17. Müller R, Klemmt M, Ehni H, Henking T, Kuhnmünch A, Preiser C, Koch R, Ranisch R. Ethical, legal, and social aspects of symptom checker applications: a scoping review. Medicine, Health Care and Philosophy 2022;25(4):737 View
  18. Turner J, Knowles E, Simpson R, Sampson F, Dixon S, Long J, Bell-Gorrod H, Jacques R, Coster J, Yang H, Nicholl J, Bath P, Fall D, Stone T. Impact of NHS 111 Online on the NHS 111 telephone service and urgent care system: a mixed-methods study. Health Services and Delivery Research 2021;9(21):1 View
  19. Arellano Carmona K, Chittamuru D, Kravitz R, Ramondt S, Ramírez A. Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2022;24(8):e36322 View
  20. Millen E, Salim N, Azadzoy H, Bane M, O'Donnell L, Schmude M, Bode P, Tuerk E, Vaidya R, Gilbert S. Study protocol for a pilot prospective, observational study investigating the condition suggestion and urgency advice accuracy of a symptom assessment app in sub-Saharan Africa: the AFYA-‘Health’ Study. BMJ Open 2022;12(4):e055915 View
  21. Ben-Shabat N, Sharvit G, Meimis B, Ben Joya D, Sloma A, Kiderman D, Shabat A, Tsur A, Watad A, Amital H. Assessing data gathering of chatbot based symptom checkers - a clinical vignettes study. International Journal of Medical Informatics 2022;168:104897 View
  22. Alonto A, Apor A, Jamora R. Burden of Neurological Diseases in the Philippines as Revealed by Web Searches: An Infodemiological Study. International Journal of Environmental Research and Public Health 2022;19(24):16736 View
  23. Benoit J, Hartling L, Scott S. Bridging evidence-to-care gaps with mHealth: Designing a symptom checker for parents accessing knowledge translation resources on acute children’s illnesses in a smartphone application. PEC Innovation 2023;2:100152 View
  24. Maican C, Sumedrea S, Tecau A, Nichifor E, Chitu I, Lixandroiu R, Bratucu G. Factors Influencing the Behavioural Intention to Use AI-Generated Images in Business. Journal of Organizational and End User Computing 2023;35(1):1 View
  25. Radionova N, Ög E, Wetzel A, Rieger M, Preiser C. Impacts of Symptom Checkers for Laypersons’ Self-diagnosis on Physicians in Primary Care: Scoping Review. Journal of Medical Internet Research 2023;25:e39219 View
  26. Kuroiwa T, Sarcon A, Ibara T, Yamada E, Yamamoto A, Tsukamoto K, Fujita K. The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study. Journal of Medical Internet Research 2023;25:e47621 View
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  28. Gad H, Kalra S, Pinzon R, Gracia R, Yotsombut K, Coetzee A, Nafach J, Lim L, Fletcher P, Lim V, Malik R. Earlier diagnosis of peripheral neuropathy in primary care: A call to action. Journal of the Peripheral Nervous System 2024;29(1):28 View
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  31. Becker M, Matt C. How individuals perceive and process diagnostic device errors. Journal of Decision Systems 2024:1 View

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