Five advanced chatbots solving European Diploma in Radiology (EDiR) text-based questions: differences in performance and consistency
Abstract Background We compared the performance, confidence, and response consistency of five chatbots powered by large language models in solving European Diploma in Radiology (EDiR) text-based multiple-response questions. Methods ChatGPT-4o, ChatGPT-4o-mini, Copilot, Gemini, and Claude 3.5 Sonnet...
Saved in:
| Main Authors: | Jakub Pristoupil, Laura Oleaga, Vanesa Junquero, Cristina Merino, Suha Sureyya Ozbek, Lukas Lambert, European Society of Radiology (ESR) |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
|
| Series: | European Radiology Experimental |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41747-025-00591-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Subspecialisation recognition in European Radiology—follow-up survey by the Accreditation Council in Imaging and European Society of Radiology National Societies Committee
by: Miraude Adriaensen, et al.
Published: (2025-08-01) -
Assessing the perceived impact of ESOR training programs on radiologists’ professional development
by: Jules Grégory, et al.
Published: (2025-02-01) -
On the Value of Diploma from the Perspective of Undergraduate Students
by: O. I. Krushelnitskaya, et al.
Published: (2019-01-01) -
Investigating the Predictors of the International Baccalaureate Diploma Programme Outcome Scores
by: Öykü Dulun
Published: (2020-04-01) -
Through a diverse needs lens: High school students working toward a Dogwood Diploma or an Evergreen Certificate in British Columbia
by: Allison Leanage, et al.
Published: (2025-01-01)