References
Mallio CA, Sertorio AC, Bernetti C, Beomonte Zobel B (2023). Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing. La radiologia medica, 1–5
Shen Y, Heacock L, Elias J, Hentel KD, Reig B, Shih G, Moy L (2023) ChatGPT and other large language models are double-edged swords. Radiology 307(2):e230163
Şendur HN, Şendur AB, Cerit MN (2023) ChatGPT from radiologists’ perspective. Br J Radiol 96:20230203
Lecler A, Duron L, Soyer P (2023) Revolutionizing radiology with GPT-based models: current applications, future possibilities and limitations of ChatGPT. Diagn Interv Imaging 104(6):269–274
Ray PP, Majumder P (2023) ChatGPT in radiology: a deeper look into its limitations and potential pathways for improvement. Can Assoc Radiol J 12:8465371231177674
Funding
Not applicable.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. All authors read and approved the final manuscript. PPR conceived the idea, writing, editing, and reviewing.
Corresponding author
Ethics declarations
Conflict of interest
The author has no relevant financial or non-financial interests to disclose.
Ethical approval
This article does not contain any studies with human participants or animals performed by any of the authors.
Human and animal participants
The present research did not involve human participants and/or animals.
Informed consent
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Ray, P.P. A critical examination and suggestions for large language models for structured reporting in radiology. Radiol med 128, 1441–1442 (2023). https://doi.org/10.1007/s11547-023-01688-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11547-023-01688-5