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Odontogenic Tumors: A Challenge for Clinical Diagnosis and an Opportunity for AI Innovation | ||
| Journal of Dentistry | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 23 اسفند 1402 اصل مقاله (173.07 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 histopatholouires large and diverse datasets of annotated images to ensure accurate and generalizable performance. We hope that AI exhibits vast potential for enhancing the diagnosis and treatment of OTs. As AI technology advances, its involvement in oral and maxillofacial surgery is expected to extend, leading to better patient outcomes and improved healthcare. | ||
| کلیدواژه‌ها | ||
| Artificial intelligence؛ Cone-Beam Computed Tomography؛ Odontogenic tumors | ||
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آمار تعداد مشاهده مقاله: 25 تعداد دریافت فایل اصل مقاله: 43 |
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