ARTIFICIAL INTELLIGENCE IN TEACHING MEDICAL STUDENTS

Main Article Content

Abstract:

The article discusses key areas of AI use in medicaleducation, including virtual simulations, personalized learning, the use of big data and machine learning, as well as automation of student knowledge assessment processes. An important aspect is to improve the quality of the educational process through the creation of interactive learning systems that help students develop critical thinking, as well as self-confidence in making clinical decisions. It also discusses the benefits, such as the availability of education and the ability to develop skills without risk to patients, and the challenges that educational institutions face when implementing such technologies, including ethical and financial issues. In conclusion, it is emphasized that AI in medical education provides significant potential for improving curricula, but requires a careful approach to data privacy issues and teacher training.

Article Details

How to Cite:

Абдуманонов, А., & Султонов , М. (2024). ARTIFICIAL INTELLIGENCE IN TEACHING MEDICAL STUDENTS. Eurasian Journal of Mathematical Theory and Computer Sciences, 4(11), 13–17. Retrieved from https://www.in-academy.uz/index.php/EJMTCS/article/view/39944

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