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Abstract
Sun’iy intellekt (SI), mashinaviy o‘qitish, chuqur o‘qitish, konvolyutsion neyron tarmoqlar va raqamli tasvirlash texnologiyalari yuz-jag‘ jarrohligida tashxis, riskni baholash, anatomik segmentatsiya va jarrohlik rejalashtirishni takomillashtirish imkonini bermoqda. Ushbu tezisda SI algoritmlarining rentgenografiya, KT va CBCT tasvirlarini avtomatik tahlil qilish, patologik o‘choqlarni aniqlash, uch o‘lchamli rekonstruksiya, ortognatik hamda rekonstruktiv operatsiyalarni rejalashtirish, operatsiyadan keyingi natijalarni prognozlashdagi istiqbollari tahlil qilindi. Shu bilan birga, klinik validatsiya, ma’lumotlar sifati, algoritmik bias, izohlanuvchanlik, maxfiylik va shifokor nazoratining zarurligi yoritildi.
References
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