ISSN 3060-4745 Open Access · Peer Reviewed
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Keywords

Sun'iy intellekt, mashinali o'qitish, tibbiy diagnostika, neyron tarmoqlar, MRT, KT, rentgenografiya, algoritmlar, katta ma'lumotlar (Big Data), bashoratli tahlil, kompyuter ko'rishi, sog'liqni saqlash, raqamli transformatsiya, kardiologiya, onkologiya.

How to Cite

AI YORDAMIDA TIBBIY DIAGNOSTIKANING SAMARADORLIGINI OSHIRISH. (2026). ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH, 3(5), 812-821. https://www.universalpublishings.com/index.php/aijmr/article/view/18758

Abstract

Ushbu maqolada zamonaviy tibbiyotning eng dolzarb yo‘nalishlaridan biri – sun’iy intellekt (AI) texnologiyalarini diagnostika jarayonlariga tatbiq etish orqali tibbiy xizmat ko‘rsatish sifatini oshirish masalalari ilmiy jihatdan tahlil qilinadi. Maqolada mashinali o‘qitish (Machine Learning), chuqur o‘qitish (Deep Learning) va neyron tarmoqlarining tibbiy tasvirlarni tahlil qilishdagi o‘rni, erta tashxis qo‘yishdagi aniqlik darajasi hamda inson omili bilan bog‘liq xatoliklarni kamaytirish imkoniyatlari yoritilgan. Shuningdek, onkologiya, kardiologiya va radiologiya sohalarida AI algoritmlarining samaradorligi qiyosiy tahlillar yordamida ko‘rsatib o‘tilgan. Tadqiqot davomida Big Data (katta ma’lumotlar) bilan ishlashning texnik jihatlari va tibbiy ma’lumotlar xavfsizligini ta’minlash muammolari ham muhokama qilingan. Maqola yakunida O‘zbekiston sog‘liqni saqlash tizimiga AI texnologiyalarini integratsiya qilish bo‘yicha ilmiy asoslangan taklif va tavsiyalar ishlab chiqilgan

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