ChatGPT Guided Diagnosis of Ameloblastic Fibro-Odontoma: A Case Report with Eventful Healing

Ömer Uranbey; Ferhat Ayrancı; Büşra Erşan Erdem

doi:10.58600/eurjther1979

Authors

Ömer Uranbey Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Ordu University, Ordu, Türkiye https://orcid.org/0000-0003-0628-2419
Ferhat Ayrancı Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Ordu University, Ordu, Türkiye https://orcid.org/0000-0001-7126-5696
Büşra Erşan Erdem Department of Medical Pathology, Faculty of Medicine, Ordu University, Ordu, Türkiye https://orcid.org/0000-0003-1464-6673

DOI:

https://doi.org/10.58600/eurjther1979

Keywords:

Ameloblastic Fibro-Odontoma, Odontogenic Neoplasm, ChatGPT

Abstract

Ameloblastic Fibro-Odontoma (AFO) defined by the World Health Organization as a mixed odontogenic tumor. It’s rare and representing 1% to 3% of odontogenic tumors. Due to AFO's rarity and poorly understood etiopathology, clinicians and pathologists may face difficulties in its differential diagnosis. This case report explores the diagnosis and treatment of this uncommon maxillofacial condition in a juvenile patient, also showcasing ChatGPT's potential to assist clinicians by providing diagnosis and recommendations. In parallel to the treatment processes, an external researcher described the case and simulated possible diagnostic and treatment scenarios using ChatGPT 3.5. Although the diagnosis and recommendations obtained are not taken into account in the evaluation of the case, the aim is to draw attention to these tools, which depict a scenario similar to clinical reality. The use of Artificial Intelligence in healthcare, including ChatGPT, is still evolving, and more research is needed to understand its full potential in analyzing clinical information, providing diagnoses, and recommending treatments.

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