The model can play the following roles in medical education:
- Virtual consultation training: Generate a complete case with chief complaint and physical examination through the patient simulator to support medical students in practicing their diagnostic thinking (support for adjusting the difficulty of the case).
- Instant Knowledge Base: 50,000+ drug details and 3,000 disease differential diagnosis points can be queried, and the response speed is 10 times faster than traditional medical databases.
- Counseling on medical record writing: Automatically analyze simulated medical records written by students and provide recommendations for improvement in terms of SOAP structural integrity, medical terminology accuracy and other dimensions
Tests have shown that medical students who use the model to assist in their teaching improve their average scores on the OSCE (Objective Structured Clinical Examination) by 151 TP3T. its thinking_mode is particularly well suited for demonstrating expert diagnostic thinking processes.
This answer comes from the articleBaichuan-M2: A Large Language Model for Augmented Reasoning in HealthcareThe
May not be reproduced without permission:AI productivity tools " What are the specific application scenarios of Baichuan-M2-32B in medical education?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil