Better off alone? Artificial intelligence can demonstrate superior performance without clinician input
Recent studies challenge the assumption that human-artificial intelligence (AI) collaboration is universally optimal, highlighting tasks where AI alone outperforms combined efforts. This viewpoint discusses the reasons behind these findings, explores influences on synergy and emphasises the importance of identifying when clinicians add net benefit to AI performance. Maximising patient outcomes may require accepting AI autonomy in certain scenarios within healthcare practice.
Authors
- Aashray Gupta (ORCID: https://orcid.org/0000-0002-8038-0378)
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Daksh Tyagi (ORCID: https://orcid.org/0009-0004-0208-4313)
- Brandon Stretton (ORCID: https://orcid.org/0000-0002-7939-3489)
- Joshua G. Kovoor (ORCID: https://orcid.org/0000-0002-3880-3840)
- Ashley M. Hopkins (ORCID: https://orcid.org/0000-0001-7652-4378)
- J. Gorcilov
Institutions
- Harvard University (US)
- Flinders University (AU)
- Royal North Shore Hospital (AU)
- Lyell McEwin Hospital (AU)
- Ballarat Health Services (AU)
- The University of Adelaide (AU)
- University of Newcastle Australia (AU)
Publication Details
- Journal
- Internal Medicine Journal
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1111/imj.70007
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65