Interdisciplinary data annotation: Best practices for enhancing accuracy in medical large language models

Objectives and questions: Data-viewing is an essential but time-consuming part of the clinical workflow. The application of artificial intelligence for data filtering can result in a significant time reduction. However, untrained models lack the accuracy required for medical data evaluation, necessitating [for full text, please go to the a.m. URL]