TIBBIY TA’LIM JARAYONIGA SUN’IY INTELLEKT VA YANGI RAQAMLI TEXNOLOGIYALARNI INTEGRATSIYALASH.

Hasanov Dilmurod Abdubahob o‘g‘li; Ishpulatov Sardor Normurodovich; Sottorov Bobur Bohodirovich

Authors

Hasanov Dilmurod Abdubahob o‘g‘li Toshkent tibbiyot akademiyasi Termiz filiali
Ishpulatov Sardor Normurodovich Toshkent tibbiyot akademiyasi Termiz filiali
Sottorov Bobur Bohodirovich Toshkent tibbiyot akademiyasi Termiz filiali

Keywords:

Sun’iy intellekt, raqamli texnologiyalar, tibbiy ta’lim, interaktiv o‘qitish, shifokor tayyorlash

Abstract

Maqolada tibbiy ta’lim jarayoniga sun’iy intellekt va yangi raqamli texnologiyalarni joriy etish masalalari tahlil qilinadi. Sun’iy intellekt tibbiy diagnostika va jarrohlik amaliyotlarida muvaffaqiyatli qoʻllanilib kelmoqda, ammo tibbiy ta’limdagi imkoniyatlari hanuz toʻliq ochib berilmagan. Ushbu maqolada AI texnologiyalari orqali tibbiy oʻqitishni interaktiv qilish va shifokorlarni tayyorlashda sifatni oshirish imkoniyatlari tadqiq etiladi.

Downloads

Download data is not yet available.

References

1. Abate, A. F., & Szolovits, P.(2019). Artificial intelligence in medical education: Current perspectives and challenges. Journal of Medical Education and Curricular Development, 6(1), 1-8. https://doi.org/10.1177/2382120519834322

2. Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7

3. Ellaway, R. H., & Masters, K. (2019). AMEE Guide 32: e-Learning in medical education part 1: Learning, teaching, and assessment. Medical Teacher, 31(5), 455-473. https://doi.org/10.1080/01421590802108331

4. Chan, K. S., Zary, N., & Kowitlawakul, Y. (2020). Integration of virtual reality and augmented reality into medical education: A review of current evidence. Medical Education Online, 25(1), 1837284. https://doi.org/10.1080/10872981.2020.1837284

5. Wartman, S. A., & Combs, C. D. (2018). Medical education must move from the information age to the age of artificial intelligence. Academic Medicine, 93(8), 1107-1109. https://doi.org/10.1097/ACM.0000000000002044

6. Boehm, A. E., Rassouli, F., & Niggli, F. (2020). Virtual patients and artificial intelligence in medical education: A systematic review. International Journal of Medical Informatics, 141, 104232. https://doi.org/10.1016/j.ijmedinf.2020.104232

7. Scalese, R. J., & Issenberg, S. B. (2019). Effective use of simulations in teaching and learning. Medical Teacher, 25(3), 262-268. https://doi.org/10.1080/0142159031000070564

8. Krittanawong, C., Johnson, K. W., & Rosenson, R. S. (2021). Deep learning for cardiovascular medicine: a practical primer. European Heart Journal, 42(21), 2098-2109. https://doi.org/10.1093/eurheartj/ehab195

9. Ahmed, H., & Abouelmehdi, K. (2020). Data privacy challenges in the age of artificial intelligence: A medical perspective. Health Policy and Technology, 9(1), 4-9. https://doi.org/10.1016/j.hlpt.2020.05.004

10. Rose, S. (2019). Artificial intelligence in health care: new applications, challenges, and standards for diagnosis and care. JAMA, 321(21), 2147-2148. https://doi.org/10.1001/jama.2019.4911