BAHOLASH VA DIAGNOSTIKA JARAYONLARIDA SUN’IY INTELLEKTGA ASOSLANGAN AVTOMATLASHTIRILGAN TEXNOLOGIYALARNING QO‘LLANILISHI
Main Article Content
Аннотация:
Ushbu maqolada baholash va diagnostika jarayonlarida sun’iy intellekt asosida avtomatlashtirilgan yechimlardan foydalanish masalalari yoritilgan. Sun’iy intellekt texnologiyalarining ta’lim, tibbiyot va psixologiya sohalarida baholash aniqligi, tezkorlik va ob’ektivlikni oshirishdagi ahamiyati tahlil qilinadi. Shuningdek, avtomatlashtirilgan diagnostika tizimlarining afzalliklari, imkoniyatlari hamda ularni joriy etishdagi muammolar ko‘rib chiqiladi.
Article Details
Как цитировать:
Библиографические ссылки:
Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach. 4th ed. Pearson Education, New York, 2021.
Topol, E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books, New York, 2019.
Davenport, T. H., Kalakota, R. The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 2019, pp. 94–98.
Esteva, A., Kuprel, B., Novoa, R. A., et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature, Vol. 542, 2017, pp. 115–118.
Obermeyer, Z., Emanuel, E. J. Predicting the future — Big data, machine learning, and clinical medicine. The New England Journal of Medicine, Vol. 375, No. 13, 2016, pp. 1216–1219.
World Health Organization. Ethics and Governance of Artificial Intelligence for Health. WHO Press, Geneva, 2021.
OECD. Artificial Intelligence in Society. OECD Publishing, Paris, 2019.
Kaplan, A., Haenlein, M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, Vol. 62, Issue 1, 2019, pp. 15–25.
