DOI:
https://doi.org/10.71337/inlibrary.uz.universaljurnal.110833Annotasiya
Sun'iy intellekt (AI) modellari tish kasalliklarini erta aniqlash uchun kuchli vosita sifatida paydo bo'ldi.
karies va periodontit, kasallikning rivojlanishining oldini olish uchun o'z vaqtida aralashuvga imkon beradi. Ushbu tadqiqot
AI samaradorligini, xususan, konvolyutsion kabi chuqur o'rganish algoritmlarini baholaydi
neyron tarmoqlari (CNN), stomatologiya yordamida ushbu shartlarning preklinik bosqichlarini aniqlashda
rentgenografiya va klinik ma'lumotlar. Statistik ko'rsatkichlar, jumladan, sezgirlik, o'ziga xoslik, aniqlik va
Modelni baholash uchun qabul qiluvchining ishlash xarakteristikasi egri chizig'i (AUC) ostidagi maydon tahlil qilinadi
ishlash. Ma'lumotlar sifati, algoritmik tarafkashlik va klinik integratsiya kabi muammolar ham mavjud
muhokama qilindi. Maqolada sun'iy intellektning stomatologiya va uning kelajagida erta tashxis qo'yish imkoniyatlarini ta'kidlaydi
oqibatlari.
Bibliografik manbalar
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