Published on in Vol 2 (2023)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42940, first published .
Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

Journals

  1. Monteith S, Glenn T, Geddes J, Achtyes E, Whybrow P, Bauer M. Challenges and Ethical Considerations to Successfully Implement Artificial Intelligence in Clinical Medicine and Neuroscience: a Narrative Review. Pharmacopsychiatry 2023;56(06):209 View
  2. Stafie C, Sufaru I, Ghiciuc C, Stafie I, Sufaru E, Solomon S, Hancianu M. Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review. Diagnostics 2023;13(12):1995 View
  3. Röttgen C, Herbig B, Weinmann T, Müller A. Algorithmic management and human-centered task design: a conceptual synthesis from the perspective of action regulation and sociomaterial systems theory. Frontiers in Artificial Intelligence 2024;7 View
  4. Muralidharan V, Adewale B, Huang C, Nta M, Ademiju P, Pathmarajah P, Hang M, Adesanya O, Abdullateef R, Babatunde A, Ajibade A, Onyeka S, Cai Z, Daneshjou R, Olatunji T. A scoping review of reporting gaps in FDA-approved AI medical devices. npj Digital Medicine 2024;7(1) View
  5. Hussain S, Bresnahan M, Zhuang J. The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities – a scoping review. Ethnicity & Health 2024:1 View
  6. Yang S, Chien J, Lee C. Advancements in Clinical Evaluation and Regulatory Frameworks for AI-Driven Software as a Medical Device (SaMD). IEEE Open Journal of Engineering in Medicine and Biology 2025;6:147 View

Books/Policy Documents

  1. Branco F, Sousa J. Artificial Intelligence for Drug Product Lifecycle Applications. View