Mualliflar

  • A Маматюсупов
    Kokand Universiteti Andijon filiali
  • И Исроилов
    Kokand Universiteti Andijon filiali

DOI:

https://doi.org/10.71337/inlibrary.uz.universaljurnal.110731

Kalit so‘zlar:

искусственный интеллект медицина диагностика обработка изображений интеллектуальные системы машинное обучение роботизированная хирургия

Annotasiya

Sun'iy intellekt (AI) diagnostika, davolash va bemor ma'lumotlarini boshqarishda sezilarli yaxshilanishlarni ta'minlovchi zamonaviy tibbiyotning ajralmas qismiga aylandi. Ushbu maqola tibbiyotda sun'iy intellektni qo'llashning asosiy yo'nalishlarini, jumladan tasvirni qayta ishlash, qarorlarni qabul qilishni qo'llab-quvvatlash tizimlari, robotli jarrohlik va kasalliklarni bashorat qilishni o'rganadi. Unda mavjud yutuqlar, mavjud muammolar va kelgusida rivojlanish istiqbollari tahlil qilinadi. Sog'liqni saqlashda sun'iy intellektdan foydalanishni axloqiy va huquqiy tartibga solish zarurligiga e'tibor qaratiladi.


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Bibliografik manbalar

Jiang, F., Jiang, Y., Zhi, H., et al. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101

Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature Biomedical Engineering, 2(10), 719–731. https://doi.org/10.1038/s41551-018-0305-z

Esteva, A., Kuprel, B., Novoa, R. A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118.https://doi.org/10.1038/nature21056

Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.

Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the Future—Big Data, Machine Learning, and Clinical Medicine. The New England Journal of Medicine, 375, 1216–1219. https://doi.org/10.1056/NEJMp1606181