Artificial Intelligence in Healthcare Can Reach the Right Conclusion for the Wrong Reasons

Serdar HocamAuthor & Editor

It was emphasized that high accuracy rates in healthcare AI do not guarantee reliability on their own, and explainable AI is critical.

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Artificial Intelligence in Healthcare Can Reach the Right Conclusion for the Wrong Reasons
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Assist. Prof. Dr. Damla Övek Baydar from Biruni University stated that high accuracy rates of artificial intelligence models used in healthcare do not alone mean reliability.

Assist. Prof. Dr. Damla Övek Baydar from the Department of Computer Engineering, Faculty of Engineering and Natural Sciences at Biruni University, stated that high accuracy rates in artificial intelligence systems within the healthcare field do not provide reliability on their own. Baydar noted that models can reach correct conclusions based on data that is not clinically meaningful, and this can affect reliability across different patient groups.

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