Comparison of the diagnostic accuracy of dentists and ChatGPT in jawbone lesions
Nezahat Sena Satan, Umut Pamukçu, Barış Erkut Türk, Zühre Akarslan, Sibel Açık Kemaloğlu, Ilkay Peker · 2026
Read Comparison of the diagnostic accuracy of dentists and ChatGPT in jawbone lesions by Nezahat Sena Satan, Umut Pamukçu, Barış Erkut Türk, Zühre Akarslan, Sibel Açık Kemaloğlu, Ilkay Peker (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13397687.txt.
Description
Nezahat Sena Satan, Umut Pamukçu, Barış Erkut Türk, and their co-authors pit ChatGPT against dentists at diagnosing lesions inside the jawbone. Thirty real cases with X-rays and confirmed diagnoses were given to the chatbot and to three groups of dentists with different training.
The chatbot named the right diagnosis in just under half the cases. Specialist radiologists scored highest, and surgeons also beat the chatbot by a clear margin. General dentists, though, scored lower than the chatbot overall. The authors conclude that such AI tools cannot stand in for specialists, but they may support everyday practice, especially where specialist help is scarce. Their study is a snapshot of one chatbot version at one moment in time.
Catalog record
| CREATOR | Nezahat Sena Satan, Umut Pamukçu, Barış Erkut Türk, Zühre Akarslan, Sibel Açık Kemaloğlu, Ilkay Peker |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |