SUN'iy intellekt stomatologiyaning avtomatlashtirilgan tahlilida. RADYOGRAFIKLAR: DIAGNOSTIK ANQIQLIGINI STATISTIKALAR BILAN ORTALASH INSIGHTLAR

Mualliflar

  • Ro‘ziyev B. D Kokand Universiteti Andijon filiali
  • Ro‘ziyev Sh. D Kokand Universiteti Andijon filiali

Kalit so‘zlar:

artificial intelligence, dental radiographs, automated analysis, convolutional neural networks, statistical analysis, diagnostic accuracy.

Abstrak

Sun'iy intellekt (AI) tish rentgenogrammalarining avtomatlashtirilgan tahlilini o'zgartirdi
tish patologiyalarini aniqlashda diagnostika aniqligi va samaradorligini oshirish. Ushbu tadqiqot o'rganadi
sun'iy intellektga asoslangan vositalar, xususan konvolyutsion neyron tarmoqlar (CNN) va chuqur o'rganishning roli
algoritmlar, karies, periodontal kasallik kabi holatlar uchun tish rentgenogrammasini talqin qilishda,
va periapikal lezyonlar. Statistik tahlillar, jumladan, sezgirlik, o'ziga xoslik va maydon ostida
Qabul qiluvchining ishlash xarakteristikasi egri chizig'i (AUC) AI samaradorligini aniqlash uchun taqdim etiladi.
Ma'lumotlarning o'zgaruvchanligi, modelni umumlashtirish va klinik tekshirish kabi muammolar ham mavjud
tekshirildi. Maqolada tish rentgenogrammasida AI ning hozirgi holati va kelajakdagi salohiyati baholanadi
tahlil qilish.

References

Lee, S., & Kim, J. (2022). "Convolutional Neural Networks for Caries Detection in Bitewing Radiographs." Journal of Dental Research, 101(5), 543-550.

Patel, R., et al. (2023). "AI-Driven Segmentation of Dental Structures in Radiographs." Dental Imaging Journal, 15(2), 89-96.

Chen, H., & Wang, J. (2024). "Performance Metrics of AI in Dental Radiology." Clinical Oral Investigations, 28(3), 123-130.

Singh, V., & Gupta, A. (2023). "Challenges in AI-Based Radiograph Analysis." Journal of Oral Health Technology, 9(1), 67-74.

Taylor, R., & Brown, P. (2024). "AUC Analysis of AI Models for Periapical Lesion Detection." European Journal of Radiology, 12(2), 78-85.

Ahmed, Z., & Tran, H. (2024). "Data Variability in Dental AI Applications." Dental Informatics Review, 10(3), 345-352.

Khan, S., & Lee, T. (2023). "Generalizability Issues in AI Dental Diagnostics." International Journal of Dental Science, 15(4), 234-240.

Rossi, M., & Bianchi, L. (2024). "Clinical Validation of AI in Dental Imaging." Journal of Dental Technology, 11(1), 56-62.

Gupta, R., & Patel, N. (2023). "Dentists’ Perspectives on AI in Radiology." Oral Health Research, 8(2), 89-95.

Park, J., & Kim, Y. (2022). "Time Efficiency of AI in Dental Radiograph Analysis." Journal of Clinical Dentistry, 14(3), 123-130.

Li, H., & Wu, X. (2023). "Statistical Evaluation of AI Diagnostic Tools in Dentistry." Advances in Dental Research, 9(2), 67-74.

Smith, T., & Lee, C. (2024). "Computational Requirements for AI in Dental Clinics." Health Technology Journal, 10(1), 78-85.

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Nashr qilingan

2025-06-16

How to Cite

SUN’iy intellekt stomatologiyaning avtomatlashtirilgan tahlilida. RADYOGRAFIKLAR: DIAGNOSTIK ANQIQLIGINI STATISTIKALAR BILAN ORTALASH INSIGHTLAR. (2025). Universal Xalqaro Ilmiy Jurnal, 2(4.5), 914-916. https://universaljurnal.uz/index.php/jurnal/article/view/2644