ARTIFICIAL INTELLIGENCE IN MEDICINE: TRANSFORMING DIAGNOSIS, PERSONALIZING TREATMENT, AND REDEFINING HEALTHCARE
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Keywords

sun’iy intellekt, tibbiyot, diagnostika, individual davolash, raqamli sog‘liqni saqlash, telemeditsina, tibbiy innovatsiyalar.

Abstract

Mazkur maqolada tibbiyot sohasida sun’iy intellekt texnologiyalarining joriy etilishi va ularning diagnostika, davolash hamda profilaktika jarayonlaridagi o‘rni kompleks tahlil qilinadi. Tadqiqot davomida sun’iy intellektning tibbiy tasvirlarni qayta ishlash, kasalliklarni erta aniqlash, klinik qaror qabul qilishni qo‘llab-quvvatlash va individual davolash strategiyalarini ishlab chiqishdagi ahamiyati asoslab beriladi. Shuningdek, farmatsevtika sohasida yangi dori vositalarini yaratishda sun’iy intellektning roli yoritiladi. Maqolada ushbu texnologiyaning afzalliklari bilan bir qatorda, ma’lumotlar xavfsizligi, etik muammolar va algoritmik shaffoflik kabi dolzarb masalalar ham muhokama qilinadi. Tadqiqot natijalari sun’iy intellekt sog‘liqni saqlash tizimini modernizatsiya qilishda muhim omil ekanligini ko‘rsatadi.

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References

Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books. — pp. 45–78, 120–145.

2. LeCun, Y., Bengio, Y., Hinton, G. (2015). Deep learning // Nature. — Vol. 521(7553). — pp. 436–444.

3. Esteva, A., Kuprel, B., Novoa, R. et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks // Nature. — Vol. 542. — pp. 115–118.

4. McKinney, S. M., Sieniek, M., Godbole, V. et al. (2020). International evaluation of an AI system for breast cancer screening // Nature Medicine. — Vol. 26. — pp. 106–109.

5. Davenport, T. H., Ronanki, R. (2018). Artificial intelligence for the real world // Harvard Business Review. — Vol. 96(1). — pp. 108–116.

6. Jumper, J., Evans, R., Pritzel, A. et al. (2021). Highly accurate protein structure prediction with AlphaFold // Nature. — Vol. 596. — pp. 583–589.

7. World Health Organization (2021). Ethics and Governance of Artificial Intelligence for Health. Geneva: WHO. — pp. 15–25, 48–60.

8. Jiang, F., Jiang, Y., Zhi, H. et al. (2017). Artificial intelligence in healthcare: past, present and future // Stroke and Vascular Neurology. — Vol. 2. — pp. 230–243.

9. Davenport, T., Kalakota, R. (2019). The potential for artificial intelligence in healthcare // Future Healthcare Journal. — Vol. 6(2). — pp. 94–98.