SUN’IY INTELLEKT TEXNOLOGIYALARINING STOMATOLOGIK DIAGNOSTIKADA QO‘LLANILISHI
Abstract
Mazkur maqolada sun’iy intellekt texnologiyalarining stomatologik diagnostikada qo‘llanilish imkoniyatlari tahlil qilingan. Sun’iy intellekt asosidagi algoritmlarning kariyes, periodontal kasalliklar va boshqa stomatologik patologiyalarni aniqlashdagi ahamiyati yoritilgan. Shuningdek, diagnostika jarayonining aniqligi va tezkorligini oshirishdagi afzalliklari hamda ushbu texnologiyalarni amaliyotga joriy etish bilan bog‘liq muammolar ko‘rib chiqilgan. Tadqiqot natijalari sun’iy intellekt stomatologik diagnostika sifatini yaxshilash va klinik qaror qabul qilish jarayonini qo‘llab-quvvatlashda muhim ahamiyatga ega ekanligini ko‘rsatadi.
References
1. Khanagar S.B., Al-Ehaideb A., Maganur P.C. et al. Developments, application, and performance of artificial intelligence in dentistry – A systematic review // Journal of Dental Sciences. – 2021. – Vol. 16, № 1. – P. 508–522.
2. Hung M., Voss M.W., Rosales M.N. et al. Application of machine learning for diagnostic prediction of dental diseases // Oral Diseases. – 2022. – Vol. 28, № 4. – P. 1025–1034.
3. Ahmed N., Abbasi M.S., Zuberi F. et al. Artificial intelligence techniques: analysis, application, and outcome in dentistry – A systematic review // BioMed Research International. – 2021. – Vol. 2021. – Article ID 9751564.
4. Shan T., Tay F.R., Gu L. Application of artificial intelligence in dentistry // Journal of Dental Research. – 2021. – Vol. 100, № 3. – P. 232–244.
5. Krois J., Ekert T., Meinhold L. et al. Deep learning for the radiographic detection of periodontal bone loss // Scientific Reports. – 2019. – Vol. 9. – Article № 8495.
6. Lee J.H., Kim D.H., Jeong S.N., Choi S.H. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm // Journal of Dentistry. – 2018. – Vol. 77. – P. 106–111.
7. Aripov M.M., Fayziyev Sh.M. Sun’iy intellekt asoslari. – Toshkent: Fan va texnologiyalar, 2020. – 256 b.
8. Yusupov R.A. Tibbiyotda axborot texnologiyalari va sun’iy intellekt tizimlari. – Toshkent: O‘zbekiston, 2022. – 312 b.