Background
Medical students' clinical thinking requires a lot of real-life case training, but traditional teaching is limited by faculty and case resources.Baichuan-M2-32B provides an innovative solution for medical education with a built-in patient simulator and a real-life clinical case database.
Core Programs
- Virtual consultation simulation::
Use the think_mode function of the model to allow the system to first show the complete diagnostic thought process (e.g., symptom analysis → differential diagnosis → test recommendation), so that students can compare their own judgments with the differences in AI reasoning - Case library call::
Input special format such as [Case Bank:Cardiovascular2023] to retrieve the corresponding specialty cases, and construct practice scenarios with different difficulty steps through the Prompt project. - Instant Feedback System::
Combined with the 8-dimensional assessment criteria of the Validator system, the exercise feedback containing the Medical Accuracy Score, Differential Diagnosis Completeness Report is automatically generated
Example of operation
After deploying the education-specific instance through the API, the following training flow is constructed: 1. student inputs a simulated patient's chief complaint 2. the model returns a thought process + a preliminary diagnosis 3. the student submits a diagnostic proposal 4. the system compares the proposals and generates suggestions for improvement
This answer comes from the articleBaichuan-M2: A Large Language Model for Augmented Reasoning in HealthcareThe
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