Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: May 6, 2020
Date Accepted: Jun 25, 2020
Is Artificial Intelligence Better Than Human Clinicians In Predicting Patient Outcomes?
ABSTRACT
In contrast with AI-powered medical imaging diagnostics where deep learning has led to breakthroughs in recent years, patient outcome prediction poses an inherently challenging problem that focuses on events that have not happened yet. Interestingly, the literature reveals that the performances of machine learning-based patient outcome prediction models are rarely compared against those of human clinicians. Human intuition and insight may be the source of the most underutilized predictive information that AI will not be able to find in electronic data. Both human and AI predictions should be investigated together with an aim to achieve a human-AI symbiosis that synergistically and complementarily combines AI and clinicians’ predictive abilities.
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