When Artificial Intelligence Disagrees with Itself: Who Treats the Patient?

The article discusses the development of autonomous artificial intelligence agents in healthcare, which possess a high degree of independence and can perform tasks such as reviewing files, suggesting diagnostics, and analyzing results. The goal is to improve the efficiency of medical procedures and reduce administrative burdens. Studies indicate that their performance in clinical tasks does not exceed 42%, and there are challenges related to system interactions, performance evaluation, and ensuring patient safety—especially given their increasing independence. The article also emphasizes the importance of establishing legal frameworks and accountability for decision errors, highlighting an opportunity for the Arab world to adopt this transformation early while maintaining the physician's primary role as the key figure.

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تنويه: هذا ملخص تم إنشاؤه بواسطة الذكاء الاصطناعي

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