Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 31 min ago
Peer-reviewedCC BYJournal of medical Internet research

The Ethics of Autonomous Clinical AI: Shifting From Model Accuracy to Model Impact.

  • Clair Sullivan1
  1. 1Queensland Digital Health Centre (QDHeC), University of Queensland, Level 5, UQ Health Sciences Building, Brisbane, Queensland, 4006, Australia, 61 0400669296.
Read full textPDFDOICite

Abstract

Unlabelled

The ethics of autonomous clinical AI are controversial. Traditional ethics assessments have focused on AI model performance rather than health system outcomes. Nichol and colleagues translate established research ethics principles into 9 practical recommendations for trials of autonomous clinical AI. Their findings support an evolution in clinical trial design. The accuracy and performance of the model is important, but the ethical unit of evaluation should be the complete care pathway, with prespecified obligations for subgroup performance, follow-up care, system failures, and model change.

Related

  1. JICS Education: Organ donation in intensive care. The law, ethics and clinical practice
    Ben David Ivory
    Journal of the Intensive Care SocietyPeer-reviewedLicence not statedFull textEpidemiology & public healthPMC
  2. Auditing the Human LLM Autonomy Gap in Clinical Ethics: Development and Application of the Autonomy Index Across 50 Clinical Ethics Vignettes
    T. Dutta Roy, R. W. Brendel
    medRxivPreprintCC BYFull textEpidemiology & public healthmedRxiv
  3. Phenomenology and the ethics of dying: reclaiming the lived meaning of death in contemporary clinical practice in South Asia - a narrative review.
    Shehan Silva, Udayangani Ramadasa, Saroj Jayasinghe
    Philosophy, ethics, and humanities in medicine : PEHMPeer-reviewedCC BY-NC-NDFull textEpidemiology & public healthEurope PMCDOAJ
  4. Diagnostic Accuracy of a Novel Chemiluminescent Immunoassay for Strongyloides stercoralis in a Non-Endemic Clinical Setting
    Sara Roose, Lorenza Sanfilippo, Stefano Tais +6
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Nutritional Accuracy and Clinical Applicability of Large Language Model-Generated Therapeutic Diet Plans for Phenylketonuria: A Comparative Simulation Study
    Bahar Kulu, Banu Süzen, Nuriye Ece Mintaş +6
    NutrientsPeer-reviewedCC BYFull textNutritionEurope PMC

Cite

BibTeXRIS
BibTeX
@article{sullivan2026ethics,
  title = {{The Ethics of Autonomous Clinical AI: Shifting From Model Accuracy to Model Impact.}},
  author = {Clair Sullivan},
  journal = {Journal of medical Internet research},
  year = {2026},
  month = oct,
  doi = {10.2196/112246},
  url = {https://europepmc.org/article/MED/42913471},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - The Ethics of Autonomous Clinical AI: Shifting From Model Accuracy to Model Impact.
AU  - Clair Sullivan
PY  - 2026
DA  - 2026/10/23
JO  - Journal of medical Internet research
DO  - 10.2196/112246
UR  - https://europepmc.org/article/MED/42913471
AB  - Unlabelled  The ethics of autonomous clinical AI are controversial. Traditional ethics assessments have focused on AI model performance rather than health system outcomes. Nichol and colleagues translate established research ethics principles into 9 practical recommendations for trials of autonomous clinical AI. Their findings support an evolution in clinical trial design. The accuracy and performance of the model is important, but the ethical unit of evaluation should be the complete care pathway, with prespecified obligations for subgroup performance, follow-up care, system failures, and model change.
SN  - 1439-4456
SN  - 1438-8871
ER  -