Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69783, first published .
Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis

Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis

Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis

Cedric Richlitzki   1 , MD ;   Sina Mansoorian   1 , MD ;   Lukas Käsmann   1 , MD ;   Mircea Gabriel Stoleriu   2 , MD ;   Julia Kovacs   3 , MD ;   Wulf Sienel   3 , MD ;   Diego Kauffmann-Guerrero   4, 5 , MD ;   Thomas Duell   2 , MD ;   Nina Sophie Schmidt-Hegemann   1 , MD ;   Claus Belka   1, 5, 6, 7 , MD ;   Stefanie Corradini   1 , MD ;   Chukwuka Eze   1 , MD

1 Department of Radiation Oncology, University Hospital LMU, Munich, Germany

2 Asklepios Lung Clinic Munich - Gauting, Division of Thoracic Surgery, LMU University Hospital, Munich, Germany

3 Division for Thoracic Surgery, Asklepios Medical Center, Ludwig-Maximilians-University of Munich, Munich, Germany

4 Department of Medicine V, University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany

5 Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich, Germany

6 German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), partner site Munich, Heidelberg, Germany

7 Bavarian Cancer Research Center (BZKF), Munich, Germany

Corresponding Author: