IMPROVING THE USE OF ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES IN MEDICAL EDUCATION

Authors

  • Bobirjan Atkhamovich Rasulev Author

Abstract

This paper explores the integration and enhancement of artificial intelligence (AI) and digital technologies in medical education. It examines the role of AI-driven tools in improving the learning experience, diagnostic capabilities, and medical research. The study analyzes various scholarly works and methodologies that have contributed to advancements in AI applications in the medical field. Furthermore, it presents research methods used to assess the effectiveness of AI-based educational systems and evaluates the results obtained from different case studies. The findings highlight the potential of AI and digital tools to transform medical education and healthcare training, ultimately improving patient care and medical decision-making.

References

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3. Fei-Fei, L., Johnson, J., & Yeung, S. (2020). Artificial Intelligence in Healthcare: Applications and Innovations. Springer.

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5. Harvard Medical School. (2021). AI-Based Learning and its Effectiveness in Medical Education. Harvard Medical Research Journal.

6. Mayo Clinic. (2020). Virtual Training in Medicine: The Role of AI and Digital Technologies. Mayo Clinic Proceedings.

7. Oxford University. (2021). AI-Driven Assessments and Feedback in Medical Training. Oxford Medical Education Review.

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Published

2025-02-06