20.500.12556/RUL-187454 Uporaba postopkov umetne inteligence pri slikanju z računalniško tomografijo s stožčastim snopom v stomatološki diagnostiki diplomsko delo Use of artificial intelligence methods in cone-beam computed tomography imaging for dental diagnostic diploma work Uvod: Umetna inteligenca v zadnjih letih predstavlja pomemben napredek na področju medicinske diagnostike, zlasti pri analizi tridimenzionalnih CBCT posnetkov v stomatologiji. Njena uporaba omogoča izboljšanje natančnosti, hitrosti in zanesljivosti diagnostičnih postopkov ter zmanjšuje vpliv subjektivne interpretacije radioloških slik. Namen: Namen diplomskega dela je bil s sistematičnim pregledom znanstvene literature preučiti uporabo umetne inteligence pri analizi CBCT posnetkov v stomatološki diagnostiki, zlasti pri segmentaciji anatomskih struktur, zaznavanju patoloških sprememb ter izboljšanju kakovosti radioloških slik. Metode dela: Uporabili smo metodo sistematičnega pregleda znanstvene literature. Relevantne vire smo iskali v izbranih podatkovnih bazah na podlagi vnaprej določenih ključnih besed in vključitvenih kriterijev ter analizirali raziskave, ki obravnavajo uporabo umetne inteligence v CBCT diagnostiki. Rezultati: Rezultati kažejo, da umetna inteligenca omogoča visoko stopnjo natančnosti pri segmentaciji anatomskih struktur ter uspešno zaznava patološke spremembe, kot so karies in periapikalne lezije. Poleg tega prispeva k izboljšanju kakovosti CBCT posnetkov z zmanjševanjem artefaktov in izboljšanjem vizualizacije. Razprava in zaključek: Uporaba umetne inteligence omogoča hitrejšo, bolj standardizirano in ponovljivo analizo radioloških slik ter predstavlja pomembno podporno orodje pri kliničnem odločanju. Kljub obetavnim rezultatom njena širša uporaba v klinični praksi še vedno zahteva dodatno validacijo, standardizacijo in ustrezno integracijo v klinično okolje. Umetna inteligenca ima velik potencial za nadaljnji razvoj in širšo uporabo v stomatološki diagnostiki. Introduction: Artificial intelligence in recent years represents a significant advancement in the field of medical diagnostics, particularly in the analysis of three-dimensional CBCT images in dentistry. Its use improves the accuracy, speed and reliability of diagnostic procedures and reduces the impact of subjective interpretation of radiological images. Purpose: The purpose of the diploma thesis was, through a systematic review of scientific literature, to examine the use of artificial intelligence in the analysis of CBCT images in dental diagnostics, especially in the segmentation of anatomical structures, detection of pathological changes, and improvement of radiological image quality. Methods: We used the method of a systematic review of scientific literature. Relevant sources were searched in selected databases based on predefined keywords and inclusion criteria, and studies addressing the use of artificial intelligence in CBCT diagnostics were analysed. Results: The results show that artificial intelligence enables a high level of accuracy in the segmentation of anatomical structures and successfully detects pathological changes, such as caries and periapical lesions. In addition, it contributes to improving the quality of CBCT images by reducing artifacts and enhancing visualization. Discussion and conclusion: The use of artificial intelligence enables faster, more standardized, and reproducible analysis of radiological images and represents an important supportive tool in clinical decision-making. Despite promising results, its broader use in clinical practice still requires additional validation, standardization, and proper integration into the clinical environment. Artificial intelligence has great potential for further development and wider application in dental diagnostics. diplomska dela radiološka tehnologija umetna inteligenca CBCT stomatološka diagnostika segmentacija zaznavanje patoloških sprememb diploma theses radiologic technology artificial intelligence CBCT dental diagnostics segmentation detection of pathological changes true false false [N. Simonič : E. Svenšek] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2026-09-11 07:47:38 2026-09-11 07:47:39 2026-09-14 10:51:04 0000-00-00 00:00:00 2026 0 Ljubljana 0 Ljubljana VIII, 34 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616-07 164247 290977795 64077.pdf 64077.pdf 1 0AB8722BA71EEC52B48A6620BBDD7031 9ea93ac0502c50cf0054a567ef12d69d45c3e3f09f30e59a8ea0bf190c4b948f 45b772ca-ada4-11f1-8bc5-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=247085 Zdravstvena fakulteta 0 0 0