1.
Quant Imaging Med Surg
; 14(9): 7012-7017, 2024 Sep 01.
Artículo
en Inglés
| MEDLINE
| ID: mdl-39281116
2.
Quant Imaging Med Surg
; 14(2): 2096-2102, 2024 Feb 01.
Artículo
en Inglés
| MEDLINE
| ID: mdl-38415145
3.
Radiol Med
; 128(7): 808-812, 2023 Jul.
Artículo
en Inglés
| MEDLINE
| ID: mdl-37248403
RESUMEN
Structured reporting may improve the radiological workflow and communication among physicians. Artificial intelligence applications in medicine are growing fast. Large language models (LLMs) are recently gaining importance as valuable tools in radiology and are currently being tested for the critical task of structured reporting. We compared four LLMs models in terms of knowledge on structured reporting and templates proposal. LLMs hold a great potential for generating structured reports in radiology but additional formal validations are needed on this topic.