Harnessing GPT-4 for automated error detection in pathology reports: Implications for oncology diagnostics

Harnessing GPT-4 for automated error detection in pathology reports: Implications for oncology diagnostics

Objective Accurate pathology reports are crucial for the diagnosis and treatment planning of cancer patients. However, these reports are prone to errors due to time pressures, subjective interpretation, and inconsistencies among professionals. Addressing these errors is vital for improving oncology...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiongwen Yang, Yun Zhang, Jinyan Jiang, Zhijun Chen, Rinasu Bai, Zihao Yuan, Longyan Dong, Yi Xiao, Di Liu, Huiyin Deng, Jian Huang, Huiyou Shi, Dan Liu, Maoli Liang, WeiJuan Tang, Chuan Xu
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251346703
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items