Despite AI and machine learning tools often surpassing top medical professionals in simulations, their impact on practice is limited due to various issues. One such issue is 'algorithm aversion,' where medical professionals often do not follow AI recommendations. PIAS-Lab is focused on developing AI systems that align with human decision-making to increase acceptance in real-world healthcare scenarios.
Dr. Saghafian's work highlights the crucial need to bridge the gap between AI's capabilities and practical application in healthcare. 'Human aversion' and 'algorithm aversion' pose challenges that can be addressed through AI systems designed to align with human intuition.
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