Odontogenic Tumors: A Challenge for Clinical Diagnosis and an Opportunity for AI Innovation

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 de...

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Bibliographic Details
Published in:Journal of Dentistry
Main Authors: Mohammad Reza Golzar Feshalami, Mehraban Shahi, Nasrin Davaridolatabadi
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2024-06-01
Subjects:
artificial intelligence
cone-beam computed tomography
odontogenic tumors
Online Access:https://dentjods.sums.ac.ir/article_49947_a38cc7c585da353b41878e58e2570f02.pdf
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Summary: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.
ISSN:2345-6485
2345-6418

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