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

Golzar Feshalami, Mohammad Reza; Shahi, Mehraban; Davaridolatabadi, Nasrin

doi:10.30476/dentjods.2024.101237.2284

Document Type : Letter to Editor

Authors

¹ Student Research Committee, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

² Dept. of Health Information Management, Dept. of Health Information Technology, School of Allied Medical Sciences, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

10.30476/dentjods.2024.101237.2284

Abstract

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.

Keywords

References

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Journal of Dentistry

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

References

References

Volume 25, Issue 2 - Serial Number 83
June 2024
Pages 95-96

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

References

References

Volume 25, Issue 2 - Serial Number 83June 2024Pages 95-96

Volume 25, Issue 2 - Serial Number 83
June 2024
Pages 95-96