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

Joshua Kovoor¹, Daksh Tyagi², Ashley Hopkins³

¹Ballarat Base Hospital, Ballarat, Victoria, Australia.

Internal Medicine Journal

|February 21, 2025

Summary

Human-artificial intelligence (AI) collaboration isn't always best for healthcare tasks. Sometimes, AI alone performs better, suggesting AI autonomy may improve patient outcomes in specific situations.

Keywords:

evidence‐based medicine machine learning outcome pragmatic synergy

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Area of Science:

Healthcare technology
Human-computer interaction
Medical artificial intelligence

Background:

The assumption of universal optimality in human-AI collaboration is increasingly challenged.
Emerging research indicates AI can outperform combined human-AI efforts in specific tasks.

Purpose of the Study:

To discuss reasons for AI outperforming human-AI teams.
To explore factors influencing human-AI synergy.
To identify scenarios where clinicians provide net benefit to AI performance.

Main Methods:

Literature review and critical analysis of recent studies on human-AI collaboration in healthcare.
Exploration of theoretical frameworks for human-AI synergy.
Discussion of clinical implications and practical considerations.

Main Results:

Certain tasks demonstrate superior performance by AI alone compared to human-AI collaboration.
Factors influencing synergy include task complexity, AI capabilities, and human expertise.
Identifying the precise point of clinician value-add to AI is crucial.

Conclusions:

Human-AI collaboration is not universally optimal in healthcare.
AI autonomy may be beneficial in specific clinical scenarios.
Optimizing patient outcomes requires a nuanced approach to integrating AI, potentially allowing AI autonomy.