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. 2020 Aug 26;22(8):e19918.
doi: 10.2196/19918.

Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

Joon Lee  1   2   3
Affiliations

Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

Joon Lee. J Med Internet Res. .

Abstract

In contrast with medical imaging diagnostics powered by artificial intelligence (AI), in which deep learning has led to breakthroughs in recent years, patient outcome prediction poses an inherently challenging problem because it focuses on events that have not yet occurred. Interestingly, the performance of machine learning-based patient outcome prediction models has rarely been compared with that of human clinicians in the literature. Human intuition and insight may be sources of underused predictive information that AI will not be able to identify in electronic data. Both human and AI predictions should be investigated together with the aim of achieving a human-AI symbiosis that synergistically and complementarily combines AI with the predictive abilities of clinicians.

Keywords: artificial intelligence; human-AI symbiosis; human-generated predictions; machine learning; patient outcome prediction.

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Conflict of interest statement

Conflicts of Interest: None declared.

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