Artificial intelligence in diagnosing and managing surgical emergencies

Dr.Tareq Jawad Kadem Al-Rubayee

Abstract

This systematic review explores how artificial intelligence, particularly through machine learning and deep learning, is fundamentally transforming how clinicians and healthcare professionals respond to critical clinical situations, improving triage and accelerating diagnosis. It also examines its role in the automated analysis of medical images, enabling faster and more accurate diagnostic decisions and providing immediate support to clinicians.

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Authors

Dr.Tareq Jawad Kadem Al-Rubayee
tarek@gmail.com (Primary Contact)
Kadem Al-Rubayee, D. J. (2026). Artificial intelligence in diagnosing and managing surgical emergencies . Journal of Science in Medicine and Life, 4(1), 132–148. Retrieved from https://journals.proindex.uz/index.php/JSML/article/view/3183
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