Enhancing the efficiency of multimodal registration of cbct and intraoral scans based on artificial intelligence

ISMOILOV Axrorjon Anvarjon o‘g‘li, SANAKULOV Jamshed Obloberdiyevich

Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali · 2026-yil

Annotatsiya

This study aims to evaluate the efficiency of artificial intelligence (AI)-based multimodal registration of cone-beam computed tomography (CBCT) and intraoral scan (IOS) data within the framework of advancing digital technologies in dentistry. In modern implantology, high-precision diagnostics and the development of individualized treatment plans rely heavily on three-dimensional (3D) models. CBCT provides detailed information on bone structures, while IOS accurately captures dental surfaces and soft tissues. The integration of these two imaging modalities significantly improves the quality of clinical decision-making. The study analyzed CBCT and IOS datasets from 23 patients. Registration was performed using three different approaches: manual registration (MR), semi-automatic registration (SR), and AI-based automatic registration (AR). Evaluation metrics included registration time, median surface deviation (MSD), and root mean square error (RMS). The results demonstrated a significant advantage of the AI-based method. The AR approach reduced registration time by more than tenfold and improved accuracy metrics (MSD ≈ 0.04 mm). This approach minimizes human-related errors and enhances the reproducibility of results. In conclusion, AI-based multimodal registration systems exhibit high efficiency in dentistry and play a crucial role in optimizing implantological planning.

Maqola ma’lumotlari
MualliflarISMOILOV Axrorjon Anvarjon o‘g‘li, SANAKULOV Jamshed Obloberdiyevich
JurnalJournal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali
NashriyotТошкент давлат стоматалогия институти, , «Expert Lawyers» MЧЖ
ISSN2181-9300
Nashr sanasi2026-08-06
Jild11
Son3
TilIngliz
Ilmiy sohaTibbiyot
Indeksga qo‘shilgan2026-08-27

Maqolaning asl sahifasi

Kalit so‘zlar

искусственный интеллект, CBCT, интраоральное сканирование, мультимодальная регистрация, 3D-моделирование, имплантология, цифровая стоматология, artificial intelligence, CBCT, intraoral scanning, multimodal registration, 3D modeling, implantology, digital dentistry, Sun’iy intellekt, CBCT, intraoral skan, multimodal registratsiya, 3D modellashtirish, implantologiya, raqamli stomatologiya

Ilmiy soha

Tibbiyot

Iqtibos keltirish

APAISMOILOV Axrorjon Anvarjon o‘g‘li, & SANAKULOV Jamshed Obloberdiyevich (2026). ENHANCING THE EFFICIENCY OF MULTIMODAL REGISTRATION OF CBCT AND INTRAORAL SCANS BASED ON ARTIFICIAL INTELLIGENCE. Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali, 11(3). https://tadqiqot.uz/index.php/biomedicine/article/view/14765
GOST (OAK)ISMOILOV Axrorjon Anvarjon o‘g‘li, SANAKULOV Jamshed Obloberdiyevich ENHANCING THE EFFICIENCY OF MULTIMODAL REGISTRATION OF CBCT AND INTRAORAL SCANS BASED ON ARTIFICIAL INTELLIGENCE // Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali. – 2026. – T. 11, № 3.
MLAISMOILOV Axrorjon Anvarjon o‘g‘li, and SANAKULOV Jamshed Obloberdiyevich. “ENHANCING THE EFFICIENCY OF MULTIMODAL REGISTRATION OF CBCT AND INTRAORAL SCANS BASED ON ARTIFICIAL INTELLIGENCE.” Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali, 11(3), 2026. https://tadqiqot.uz/index.php/biomedicine/article/view/14765
ChicagoISMOILOV Axrorjon Anvarjon o‘g‘li, and SANAKULOV Jamshed Obloberdiyevich. “ENHANCING THE EFFICIENCY OF MULTIMODAL REGISTRATION OF CBCT AND INTRAORAL SCANS BASED ON ARTIFICIAL INTELLIGENCE.” Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali, 11(3) (2026). https://tadqiqot.uz/index.php/biomedicine/article/view/14765
HarvardISMOILOV Axrorjon Anvarjon o‘g‘li, and SANAKULOV Jamshed Obloberdiyevich (2026) ‘ENHANCING THE EFFICIENCY OF MULTIMODAL REGISTRATION OF CBCT AND INTRAORAL SCANS BASED ON ARTIFICIAL INTELLIGENCE’, Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali, 11(3). https://tadqiqot.uz/index.php/biomedicine/article/view/14765
BibTeX
@article{ismoilovaxrorjonanvarjonogli2026,
  title = {ENHANCING THE EFFICIENCY OF MULTIMODAL REGISTRATION OF CBCT AND INTRAORAL SCANS BASED ON ARTIFICIAL INTELLIGENCE},
  author = {ISMOILOV Axrorjon Anvarjon o‘g‘li and SANAKULOV Jamshed Obloberdiyevich},
  journal = {Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali},
  year = {2026},
  volume = {11},
  number = {3},
  url = {https://tadqiqot.uz/index.php/biomedicine/article/view/14765}
}

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