Personalized Impression Generation for PET Reports Using Large Language Models.

Large language models (LLMs) have shown promise in accelerating radiology reporting by summarizing clinical findings into impressions. However, automatic impression generation for whole-body PET reports presents unique challenges and has received little attention. Our study aimed to evaluate whether...

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Publicado en:	Journal of Digital Imaging Vol. 37; no. 2; pp. 471 - 489
Autores principales:	Tie, Xin, Shin, Muheon, Pirasteh, Ali, Ibrahim, Nevein, Huemann, Zachary, Castellino, Sharon M., Kelly, Kara M., Garrett, John, Hu, Junjie, Cho, Steve Y., Bradshaw, Tyler J.
Formato:	research tables/charts Journal Article
Publicado:	Springer Nature Apr2024
Acceso en línea:	Ver este registro en EBSCOhost