This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (328) Artificial Intelligence (1427) Clinical Information and Decision Making (1437) Imaging Informatics (202) Medical imaging (34) Dental Sciences (124) Computer-Aided Diagnosis (136)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60684, first published .
AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study

AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study

AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study

Authors of this article:

Daniel Stephan1 Author Orcid Image ;   Annika Bertsch1 Author Orcid Image ;   Matthias Burwinkel1 Author Orcid Image ;   Shankeeth Vinayahalingam2 Author Orcid Image ;   Bilal Al-Nawas1 Author Orcid Image ;   Peer W Kämmerer1 Author Orcid Image ;   Daniel GE Thiem1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Daniel Stephan   1 * , Dr med ;   Annika Bertsch   1 * ;   Matthias Burwinkel   1 , Dr med dent ;   Shankeeth Vinayahalingam   2 , MD ;   Bilal Al-Nawas   1 , Dr med dent, Prof Dr Med ;   Peer W Kämmerer   1 * , MA, MSc, Dr med dent, Prof Dr Med ;   Daniel GE Thiem   1 * , MHBA, Dr med dent, Dr med, PD

1 Department of Oral and Maxillofacial Surgery, Facial Plastic Surgery, University Medical Centre of the Johannes Gutenberg-University Mainz, Mainz, Germany

2 Department of Oral and Maxillofacial Surgery, Radboud University Medical Center, Nijmegen, Netherlands

*these authors contributed equally

Corresponding Author:

  • Daniel Stephan, Dr med
  • Department of Oral and Maxillofacial Surgery, Facial Plastic Surgery
  • University Medical Centre of the Johannes Gutenberg-University Mainz
  • Augustusplatz 2
  • Mainz, 55131
  • Germany
  • Phone: 49 6131177038
  • Email: stephand@uni-mainz.de