Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer

PURPOSE: We aimed to evaluate the time and cost of developing prompts using large language model (LLM), tailored to extract clinical factors in breast cancer patients and their accuracy. MATERIALS AND METHODS: We collected data from reports of surgical pathology and ultrasound from breast cancer pat...

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Detalles Bibliográficos
Autores principales: Choi, Hyeon Seok, Song, Jun Yeong, Shin, Kyung Hwan, Chang, Ji Hyun, Jang, Bum-Sup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Radiation Oncology 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556835/
https://www.ncbi.nlm.nih.gov/pubmed/37793630
http://dx.doi.org/10.3857/roj.2023.00633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556835/
https://www.ncbi.nlm.nih.gov/pubmed/37793630
http://dx.doi.org/10.3857/roj.2023.00633

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