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

Artificial Intelligence (2129) Digital Health Reviews (1724) Evaluation and Research Methodology for mHealth (242) Clinical Informatics (1325) Adoption and Change Management of eHealth Systems (894) Quality Improvement (294) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54705, first published .
AI Quality Standards in Health Care: Rapid Umbrella Review

AI Quality Standards in Health Care: Rapid Umbrella Review

AI Quality Standards in Health Care: Rapid Umbrella Review

Authors of this article:

Craig E Kuziemsky1 Author Orcid Image ;   Dillon Chrimes2 Author Orcid Image ;   Simon Minshall2 Author Orcid Image ;   Michael Mannerow1 Author Orcid Image ;   Francis Lau2 Author Orcid Image
Article Authors Cited by (11) Tweetations (10) Metrics

Journals

  1. Lastrucci A, Pirrera A, Lepri G, Giansanti D. Algorethics in Healthcare: Balancing Innovation and Integrity in AI Development. Algorithms 2024;17(10):432 View
  2. Singh A, Sharma K, Bajpai M, Sarasa-Cabezuelo A. Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy. Applied Soft Computing 2024;167:112374 View
  3. Asad M, Faran N. The Misinformation Risks of Generative AI in Health Care: A Patient-centered Perspective. Journal of Patient Safety 2025;21(4):e21 View
  4. Venerito V, Gupta L, Mileto S, Iannone F, Bilgin E. Ethical challenges and regulatory pathways for artificial intelligence in rheumatology. Rheumatology Advances in Practice 2025;9(2) View
  5. Liu Y, Yang L, Meskini M, Goel A, Opperman M, Shyamal S, Manaithiya A, Xiao M, Ni R, An Y, Zhang M, Tian Y, Zhou S, Ye Z, Zhuang L, Li L, Saraswat I, Kar A, Ali S, Ullah S, Ali S, Kaushik S, Tian T, Jiao M, Wang S, Ghisleni G, Armanni A, Fumagalli S, Wang W, Cao C, Carpena M, Prieto M, Bruno A, Jin C, Hu H, Zhang Y, du Preez I, Aspatwar A, Zhang L, Gong W. Gut microbiota and tuberculosis. iMeta 2025;4(4) View
  6. Yulianti E, Eka Putri Y, Keliat B, Hidayanto A. Feelings behind words: A systematic review on how effective IS NLP-based assessment for mental health diagnosis in human studies. International Journal of Medical Informatics 2026;205:106129 View
  7. Dua B, Kumar Gupta R, Bhargava A, Bhardwaj A, Jain M, Tripathi S. Redefining oral healthcare through artificial intelligence: a review of current applications and a roadmap for the future of dentistry. BMC Artificial Intelligence 2025;1(1) View
  8. Urifa J, Shah K. Early Insights into AI and Machine Learning Applications in Hydrogel Microneedles: A Short Review. Micro 2025;5(4):48 View
  9. Guermazi D, Khemchandani S, Wahood S, Nguyen C, Saliba E. Translating Features to Findings: Deep Learning for Melanoma Subtype Prediction. Dermatopathology 2025;12(4):42 View
  10. Wang X, Xu L, Zhang H, Fu Q. Between Surveillance and Support: A Qualitative Study of Tuberculosis Patients’ Expectations and Concerns About AI-Assisted Remote Health Services in China. Patient Preference and Adherence 2025;Volume 19:3717 View
  11. Krishnamoorthy U. Non-invasive biochemical sensing with AI-driven analytics: a comprehensive review of technologies, applications, and future directions. Analytical Methods 2025 View