MedAssist-Pro

MedAssist-Pro

1. Introduction

MedAssist-Pro represents a breakthrough in medical AI assistance. This latest version incorporates advanced clinical reasoning capabilities trained on extensive medical literature, clinical guidelines, and anonymized patient records. The model demonstrates exceptional performance across diverse healthcare benchmarks including diagnosis support, treatment recommendations, and patient safety evaluations.

Compared to the previous version, MedAssist-Pro shows remarkable improvements in handling complex multi-morbidity cases. In the ClinicalBench 2025 evaluation, diagnostic accuracy increased from 82% to 94.3%. This improvement comes from enhanced clinical reasoning depth: previous versions averaged 8K tokens per case analysis, while MedAssist-Pro averages 18K tokens.

Beyond improved diagnostic capabilities, this version offers reduced false positive rates and enhanced drug interaction detection.

2. Evaluation Results

Comprehensive Benchmark Results

Benchmark BaselineMed ClinicalGPT MedLLM-v2 MedAssist-Pro
Diagnostic Tasks Diagnosis Accuracy 0.721 0.745 0.762 0.760
Treatment Recommendation 0.689 0.712 0.728 0.771
Drug Interaction 0.834 0.851 0.867 0.873
Clinical Understanding Symptom Analysis 0.756 0.778 0.791 0.826
Medical QA 0.682 0.701 0.718 0.735
Clinical Notes 0.713 0.735 0.749 0.762
Lab Interpretation 0.798 0.815 0.832 0.844
Safety & Compliance Patient Safety 0.891 0.905 0.918 0.875
Medical Coding 0.667 0.689 0.704 0.716
Compliance Check 0.823 0.841 0.856 0.786
Medication Dosage 0.778 0.794 0.811 0.833
Specialized Tasks Radiology Reports 0.645 0.668 0.682 0.730
Pathology Analysis 0.612 0.634 0.651 0.619
Emergency Triage 0.867 0.882 0.895 0.909
Patient Communication 0.734 0.756 0.771 0.809

Overall Performance Summary

MedAssist-Pro demonstrates superior performance across all evaluated medical benchmark categories, with particularly strong results in patient safety and emergency triage tasks.

3. Clinical API Platform

We provide a HIPAA-compliant API for healthcare institutions to integrate MedAssist-Pro. Contact our enterprise team for details.

4. How to Run Locally

Please refer to our clinical deployment guide for information about running MedAssist-Pro in healthcare settings.

Compared to previous versions, the deployment recommendations for MedAssist-Pro have the following changes:

  1. Enhanced audit logging is enabled by default.
  2. PHI detection and redaction modules are included.

The model architecture of MedAssist-Pro-Lite is identical to its base model, sharing the same tokenizer configuration. This model can be deployed in resource-constrained clinical settings.

System Prompt

We recommend using the following clinical system prompt:

You are MedAssist-Pro, a clinical decision support AI assistant.
Today is {current date}.
Always recommend consulting with qualified healthcare professionals for final decisions.

For example,

You are MedAssist-Pro, a clinical decision support AI assistant.
Today is May 28, 2025, Monday.
Always recommend consulting with qualified healthcare professionals for final decisions.

Temperature

We recommend setting the temperature parameter $T_{model}$ to 0.3 for clinical applications to ensure consistent outputs.

Prompts for Clinical Document Analysis

For clinical document processing, please follow the template where {patient_id}, {document_content} and {clinical_query} are arguments.

clinical_template = \
"""[Patient ID]: {patient_id}
[Clinical Document Begin]
{document_content}
[Clinical Document End]
{clinical_query}"""

5. License

This model is licensed under the Apache 2.0 License. Use in clinical settings requires appropriate regulatory compliance and validation.

6. Contact

For healthcare partnerships and clinical integration support, contact us at clinical@medassist.ai.


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