TIBBIY TA'LIMNI RAQAMLI TRANSFORMASIYASI: ROLI SUN'iy intellekt va katta ma'lumotlar tahlili

Mualliflar

  • Kabulov Nozimjon Abdukarimovich Kokand Universiteti Andijon filiali
  • Zukhriddinova Roziakhon Kamoliddin qizi Kokand Universiteti Andijon filiali

Kalit so‘zlar:

artificial intelligence, big data, medical education, digital transformation, virtual simulations, predictive analytics

Abstrak

Zamonaviy tibbiy ta'lim raqamli transformatsiya bosqichidan o'tmoqda
qaysi sun'iy intellekt (AI) va katta ma'lumotlar tahlili muhim rol o'ynaydi. Bularning integratsiyasi
texnologiyalar shaxsiylashtirilgan o'rganish imkonini beradi, klinik tayyorgarlikni optimallashtiradi va ta'limni yaxshilaydi
natijalar. Ushbu maqola tibbiy ta'limda AI va katta ma'lumotlarni qo'llashning asosiy yo'nalishlarini o'rganadi,
adaptiv ta'lim tizimlari, virtual simulyatsiyalar va prognozli ishlash tahlillarini o'z ichiga oladi.
Axloqiy me'yorlar, ma'lumotlar sifati va boshqalar kabi asosiy muammolarga alohida e'tibor beriladi
fanlararo hamkorlik zarurati

References

Topol, E. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. DOI: 10.1038/s41591-018-0300-7

Body Interact. (2023). Technical specifications and clinical validation of Body Interact v4.1: A virtual patient simulation platform for medical education [White paper].

Wilson, A. B., Smith, C. D., & Johnson, L. M. (2023). AI-enhanced learning in clinical disciplines: A systematic review of adaptive education technologies in medical training. Medical Education, 57(2), 145–156. DOI: 10.1111/medu.14523

Harvard Medical School. (2023). Artificial intelligence implementation in medical education: Annual report 2022–2023. Harvard University Press.

Rodriguez, P., Lee, S., & Kumar, V. (2023). Ethical concerns in AI-driven medical education: Bias, privacy, and accountability. Nature Medicine, 29, 1123–1128. DOI:10.1038/s41591-023-02264-0

Gupta, R., et al. (2023). Virtual simulation training effectiveness in medical education: A metaanalysis of 42 randomized trials. Journal of Medical Education, 44(3), 287–301. DOI: 10.1016/j.jmed.2023.02.015

Chen, J., et al. (2022). Big Data applications in medical education: A scoping review. Academic Medicine, 97(5), 723–731.

DOI: 10.1097/ACM.0000000000004567

MIT Technology Review. (2023). AI infrastructure challenges in healthcare education: A global perspective. MIT Press.

UNESCO. (2023). Global standards for AI in education: Guidelines for ethical implementation. UNESCO Publishing.unesco.org/ai-education-guidelines

McKinsey & Company. (2023). Digital transformation in medical education: 2023 global outlook. McKinsey Healthcare Institute. mckinsey.com/healthcare

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Nashr qilingan

2025-06-16

How to Cite

TIBBIY TA’LIMNI RAQAMLI TRANSFORMASIYASI: ROLI SUN’iy intellekt va katta ma’lumotlar tahlili. (2025). Universal Xalqaro Ilmiy Jurnal, 2(4.5), 873-874. https://universaljurnal.uz/index.php/jurnal/article/view/2628