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Odontogenic Tumors: A Challenge for Clinical Diagnosis and an Opportunity for AI Innovation | ||
| Journal of Dentistry | ||
| مقاله 1، دوره 25، شماره 2 - شماره پیاپی 83، شهریور 2024، صفحه 95-96 اصل مقاله (99.98 K) | ||
| نوع مقاله: Letter to Editor | ||
| شناسه دیجیتال (DOI): 10.30476/dentjods.2024.101237.2284 | ||
| نویسندگان | ||
| Mohammad Reza Golzar Feshalami1؛ Mehraban Shahi2؛ Nasrin Davaridolatabadi* 2 | ||
| 1Student Research Committee, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. | ||
| 2Dept. of Health Information Management, Dept. of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. | ||
| چکیده | ||
| The advancement of artificial intelligence (AI) has opened up new possibilities for medical diagnosis and treatment. In particular, AI algorithms have demonstrated remarkable potential in analyzing patient radiology images and histopathological samples, offering insights that can enhance clinical decision-making [1]. This letter explores the emerging role of AI in the diagnosis and treatment of odontogenic tumors (OTs), a group of benign, malignant, and tumor-like malformations arising from the remnants of the tooth-forming apparatus. | ||
| کلیدواژه‌ها | ||
| Artificial intelligence؛ Cone-Beam Computed Tomography؛ Odontogenic tumors | ||
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| مراجع | ||
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[10] Kawakami H, Suenaga H, Sakakibara A, Hoshi K. Computer-assisted surgery with markerless augmented reality for the surgical removal of mandibular odontogenic cysts: report of two clinical cases. Int J Oral Maxillofac Surg. 2024; 53: 347-350. | ||
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