Exploring ChatGPT effectiveness in addressing direct patient queries on colorectal cancer screening
Despite variability in questions and answers, ChatGPT confirmed good performances in answering CRC screening queries, even when used directly by patients.
Authors
- Antonio Facciorusso (ORCID: https://orcid.org/0000-0002-2107-2156)
- Cesare Hassan (ORCID: https://orcid.org/0000-0001-7167-1459)
- Marcello Fabio Maida (ORCID: https://orcid.org/0000-0002-4992-9289)
- Alessandro Vitello (ORCID: https://orcid.org/0000-0001-9099-9468)
- Sandro Sferrazza (ORCID: https://orcid.org/0000-0002-7595-0129)
- Lorenzo Fuccio (ORCID: https://orcid.org/0000-0001-8618-2447)
- Yuichi Mori (ORCID: https://orcid.org/0000-0003-2262-0334)
Institutions
- University of Foggia (IT)
- Humanitas University (IT)
- University of Salento (IT)
- University of Oslo (NO)
- Università degli Studi di Enna Kore (IT)
- SHOWA Medical University Northern Yokohama Hospital (JP)
- IRCCS Humanitas Research Hospital (IT)
- University of Bologna (IT)
Publication Details
- Journal
- Endoscopy International Open
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1055/a-2568-9416
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08