Results of the use of artificial intelligence in diagnostics of paronasal sinus diseases

Ergashev Jamol Djurabaevich, Yakubov Rejabboy Farkhod ogli

Klinik fanlar yilnomasi · 2025-yil

Annotatsiya

In modern otorhinolaryngology, radiological methods, in particular, cone-beam computed tomography, are the gold standard for diagnosing diseases of the paranasal sinuses. Materials and methods. The study is based on a dataset consisting of 2155 X-ray images in the coronal projection, extracted from 3D cone-beam computed tomography scans. Results. First test. The results of the first stage showed limited classification accuracy. The average accuracy was 55%, which is insufficient for clinical use, as the model often confused similar types of sinusitis (e.g., purulent maxillary sinusitis and maxillary ethmoiditis) due to insufficient data. Conclusion. The study showed that simple and accessible artificial intelligence tools can be effective for solving specific diagnostic tasks.

Maqola ma’lumotlari
MualliflarErgashev Jamol Djurabaevich, Yakubov Rejabboy Farkhod ogli
JurnalKlinik fanlar yilnomasi
NashriyotБухоро давлат тиббиёт институти
ISSN2025-2026, 0009-0006
Nashr sanasi2025-11-12
Jild2
Son3/2
TilIngliz
Ilmiy sohaTibbiyot
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

cone-beam computed tomography; artificial intelligence; Teachable Machine; convolutional neural networks; diseases of the paranasal sinuses, конусно-лучевая компьютерная томография; искусственный интеллект; Teachable Machine; свёрточные нейронные сети; гайморит, konusning nurli kompyuter tomografiyasi; sun’iy intellekt; Teachable Machine; konvolyutsion neyron tarmoqlari; sinusit

Ilmiy soha

Tibbiyot

Iqtibos keltirish

APAErgashev Jamol Djurabaevich, & Yakubov Rejabboy Farkhod ogli (2025). RESULTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS OF PARONASAL SINUS DISEASES. Klinik fanlar yilnomasi, 2(3/2). https://tadqiqot.uz/index.php/spjacd/article/view/12880
GOST (OAK)Ergashev Jamol Djurabaevich, Yakubov Rejabboy Farkhod ogli RESULTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS OF PARONASAL SINUS DISEASES // Klinik fanlar yilnomasi. – 2025. – T. 2, № 3/2.
MLAErgashev Jamol Djurabaevich, and Yakubov Rejabboy Farkhod ogli. “RESULTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS OF PARONASAL SINUS DISEASES.” Klinik fanlar yilnomasi, 2(3/2), 2025. https://tadqiqot.uz/index.php/spjacd/article/view/12880
ChicagoErgashev Jamol Djurabaevich, and Yakubov Rejabboy Farkhod ogli. “RESULTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS OF PARONASAL SINUS DISEASES.” Klinik fanlar yilnomasi, 2(3/2) (2025). https://tadqiqot.uz/index.php/spjacd/article/view/12880
HarvardErgashev Jamol Djurabaevich, and Yakubov Rejabboy Farkhod ogli (2025) ‘RESULTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS OF PARONASAL SINUS DISEASES’, Klinik fanlar yilnomasi, 2(3/2). https://tadqiqot.uz/index.php/spjacd/article/view/12880
BibTeX
@article{ergashevjamoldjurabaevich2025,
  title = {RESULTS OF THE USE OF ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS OF PARONASAL SINUS DISEASES},
  author = {Ergashev Jamol Djurabaevich and Yakubov Rejabboy Farkhod ogli},
  journal = {Klinik fanlar yilnomasi},
  year = {2025},
  volume = {2},
  number = {3/2},
  url = {https://tadqiqot.uz/index.php/spjacd/article/view/12880}
}

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