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toolevalxm/MedAssist-TestRepo
MedAssist-TestRepo is a machine learning model from toolevalxm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
<div align="center" <img src="figures/fig1.png" width="60%" alt="MedAssist-Pro" / </div <hr
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From the Hugging Face model README
MedAssist-Pro is a state-of-the-art medical AI assistant designed for clinical decision support. In the latest update, MedAssist-Pro has significantly improved its diagnostic accuracy and clinical reasoning capabilities through extensive training on curated medical datasets and reinforcement learning from medical expert feedback (RLMEF).
<p align="center"> <img width="80%" src="figures/fig3.png"> </p>Compared to previous versions, the upgraded model demonstrates remarkable improvements in handling complex medical cases. For instance, in the MedQA benchmark, the model's accuracy increased from 65% to 82.3%. The model now provides more detailed clinical reasoning chains and cites relevant medical literature.
Beyond diagnostic capabilities, this version offers improved drug interaction detection and enhanced support for ICD-10 coding.
| Benchmark | BioGPT | MedPaLM | ClinicalBERT | MedAssist-Pro | |
|---|---|---|---|---|---|
| Core Diagnostics | Diagnosis Accuracy | 0.620 | 0.685 | 0.651 | 0.650 |
| Drug Interaction | 0.710 | 0.745 | 0.732 | 0.771 | |
| Symptom Analysis | 0.685 | 0.720 | 0.705 | 0.859 | |
| Clinical Knowledge | Medical QA | 0.590 | 0.655 | 0.621 | 0.642 |
| Clinical Reasoning | 0.545 | 0.612 | 0.578 | 0.823 | |
| Radiology Interpretation | 0.678 | 0.725 | 0.701 | 0.727 | |
| Patient Triage | 0.720 | 0.768 | 0.745 | 0.808 | |
| Treatment Planning | Treatment Recommendation | 0.635 | 0.698 | 0.665 | 0.657 |
| Lab Result Analysis | 0.702 | 0.755 | 0.728 | 0.708 | |
| Medical Summarization | 0.668 | 0.715 | 0.692 | 0.686 | |
| ICD Coding | 0.745 | 0.798 | 0.772 | 0.824 | |
| Safety & Monitoring | Adverse Event Detection | 0.698 | 0.752 | 0.725 | 0.878 |
| Prognosis Prediction | 0.578 | 0.635 | 0.605 | 0.777 | |
| Medication Dosing | 0.712 | 0.765 | 0.738 | 0.780 | |
| Clinical Safety | 0.825 | 0.868 | 0.845 | 0.806 |
MedAssist-Pro demonstrates strong performance across all evaluated medical benchmark categories, with particularly notable results in diagnostic accuracy and clinical safety.
We offer HIPAA-compliant API endpoints for clinical integration. Please contact our enterprise team for details.
Please refer to our clinical deployment guide for running MedAssist-Pro in your healthcare environment.
Key deployment considerations:
We recommend using the following system prompt:
You are MedAssist-Pro, a clinical decision support AI.
Current date: {current date}.
Always recommend consulting a healthcare provider for final decisions.
We recommend setting temperature to 0.3 for clinical applications to ensure consistent outputs.
For processing clinical notes, use the following template:
clinical_template = \
"""[Patient ID]: {patient_id}
[Clinical Note Begin]
{clinical_note}
[Clinical Note End]
{clinical_question}"""
This model is licensed under the Apache 2.0 License. Clinical use requires appropriate medical supervision.
For questions, contact us at [email protected] or file an issue on our repository.