ARTIFICIAL INTELLIGENCE IN MEDICAL TRAINING AND DECISION-MAKING

Authors

  • Ikromova Sokinabonu Ravshanzoda Teacher at the Abu Ali Ibn Sina Public Health Technical School in Angren City Author
  • Nasirova Durdonaxon Yusufjon qizi Teacher at the Abu Ali Ibn Sina Public Health Technical School in Angren City Author
  • Shaismatova Gulbahor Xikmatovna Angren Medical University, Angren City, Tashkent Region Teacher of the Faculty of Medicine Author

Keywords:

Artificial Intelligence, medical education, medical training, decision-making, machine learning, clinical practice, healthcare technology, simulation, virtual patients, intelligent tutoring systems.

Abstract

Artificial Intelligence (AI) has become one of the most transformative technologies in modern healthcare and medical education. In medical training, AI offers innovative tools such as intelligent tutoring systems, virtual patients, and simulation-based platforms that improve clinical skills, diagnostic reasoning, and decision-making abilities of future doctors. Moreover, AI-driven algorithms provide evidence-based recommendations, assist in the interpretation of medical data, and support complex clinical decision-making processes. By combining big data analytics with machine learning, AI enables personalized learning for medical students and enhances accuracy in patient care. This article explores the role of AI in medical training and clinical decision-making, highlighting its benefits, challenges, and future perspectives in shaping the next generation of healthcare professionals.

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Published

2025-10-07

Issue

Vol. 1 No. 7 (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ARTIFICIAL INTELLIGENCE IN MEDICAL TRAINING AND DECISION-MAKING. (2025). Modern American Journal of Medical and Health Sciences, 1(7), 8-13. https://usajournals.org/index.php/1/article/view/1098