Better off alone? Artificial intelligence can demonstrate superior performance without clinician input

Joshua Kovoor; Daksh Tyagi; Ashley Hopkins; James Gorcilov; Brandon Stretton; Aashray Gupta; Stephen Bacchi

doi:10.1111/imj.70007

Better off alone? Artificial intelligence can demonstrate superior performance without clinician input

Joshua Kovoor, Daksh Tyagi, Ashley Hopkins, James Gorcilov, Brandon Stretton, Aashray Gupta, Stephen Bacchi

College of Medicine and Public Health

Research output: Contribution to journal › Comment/debate

Abstract

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.

Original language	English
Pages (from-to)	533-536
Number of pages	4
Journal	Internal Medicine Journal
Volume	55
Issue number	3
DOIs	https://doi.org/10.1111/imj.70007
Publication status	Published - Mar 2025

Keywords

evidence-based medicine
machine learning
outcome
pragmatic
synergy

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10.1111/imj.70007Licence: In Copyright

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abstract = "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.",

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AU - Gupta, Aashray

AU - Bacchi, Stephen

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Better off alone? Artificial intelligence can demonstrate superior performance without clinician input

Abstract

Keywords

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