Enhancing doctor-patient communication using large language models for pathology report interpretation

Enhancing doctor-patient communication using large language models for pathology report interpretation

Abstract Background Large language models (LLMs) are increasingly utilized in healthcare settings. Postoperative pathology reports, which are essential for diagnosing and determining treatment strategies for surgical patients, frequently include complex data that can be challenging for patients to c...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiongwen Yang, Yi Xiao, Di Liu, Yun Zhang, Huiyin Deng, Jian Huang, Huiyou Shi, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, WeiJuan Tang, Chuan Xu
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Large language models
Doctor-patient communication
Surgical oncology scene
Postoperative pathology reports
Online Access:https://doi.org/10.1186/s12911-024-02838-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items