Upload MedicalAI-Pro checkpoint with evaluation results

README.md

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+---
+license: apache-2.0
+library_name: transformers
+---
+# MedicalAI-Pro
+
+<div align="center">
+  <img src="figures/fig1.png" width="60%" alt="MedicalAI-Pro" />
+</div>
+<hr>
+
+<div align="center" style="line-height: 1;">
+  <a href="LICENSE" style="margin: 2px;">
+    <img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/>
+  </a>
+</div>
+
+## 1. Introduction
+
+MedicalAI-Pro is a state-of-the-art medical language model designed for clinical applications. The model has been trained on a diverse corpus of medical literature, clinical notes, and healthcare documentation. It demonstrates exceptional performance across various medical NLP tasks including clinical diagnosis assistance, drug interaction detection, and treatment recommendations.
+
+<p align="center">
+  <img width="80%" src="figures/fig3.png">
+</p>
+
+The model utilizes advanced transformer architecture with specialized medical tokenization, enabling precise understanding of medical terminology, drug names, and clinical procedures. MedicalAI-Pro has been evaluated on multiple clinical benchmarks and shows significant improvements over previous medical AI systems.
+
+Key Features:
+- Clinical-grade accuracy for medical terminology
+- Multi-task capability across diagnostic and therapeutic domains
+- HIPAA-compliant design principles
+- Extensive validation on clinical benchmarks
+
+## 2. Evaluation Results
+
+### Comprehensive Medical Benchmark Results
+
+<div align="center">
+
+| | Benchmark | BaselineMed | ClinicalBERT | MedLLM-v2 | MedicalAI-Pro |
+|---|---|---|---|---|---|
+| **Diagnostic Tasks** | Clinical Diagnosis | 0.612 | 0.645 | 0.678 | 0.877 |
+| | Symptom Classification | 0.698 | 0.721 | 0.745 | 0.960 |
+| | Radiology Report | 0.589 | 0.612 | 0.648 | 0.837 |
+| **Drug & Treatment** | Drug Interaction | 0.634 | 0.667 | 0.701 | 0.885 |
+| | Treatment Recommendation | 0.578 | 0.615 | 0.652 | 0.846 |
+| **Clinical Operations** | Medical Q&A | 0.645 | 0.678 | 0.712 | 0.881 |
+| | Patient Record Analysis | 0.702 | 0.734 | 0.758 | 0.884 |
+| | Clinical Trial Matching | 0.625 | 0.658 | 0.689 | 0.897 |
+
+</div>
+
+### Overall Performance Summary
+MedicalAI-Pro demonstrates strong performance across all medical benchmark categories, with particularly notable results in diagnostic and clinical operation tasks.
+
+## 3. Clinical API & Integration
+We offer a secure clinical API for healthcare providers to integrate MedicalAI-Pro into their workflows. Please check our official documentation for more details.
+
+## 4. Usage Guidelines
+
+For clinical deployment, please follow these guidelines:
+
+1. Always validate model outputs with qualified medical professionals
+2. Use the model as a decision support tool, not a replacement for clinical judgment
+3. Ensure patient data handling complies with relevant healthcare regulations
+
+### Temperature
+We recommend setting the temperature parameter to 0.3 for clinical applications to ensure consistent outputs.
+
+### Input Format
+For clinical queries, please follow the template:
+```
+clinical_template = """
+[Patient Context]: {patient_info}
+[Clinical Question]: {question}
+[Relevant History]: {medical_history}
+"""
+```
+
+## 5. License
+This model is licensed under the Apache 2.0 License. Use in clinical settings requires additional validation.
+
+## 6. Contact
+For inquiries, please contact medical-ai@example.com

config.json

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+{
+  "model_type": "roberta",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "task": "medical_diagnosis",
+  "num_labels": 10
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d41b6316b6c99be5398fd9d87b63dd32d2ba19aae5bc6df1f33ebf43c856f6fd
+size 1024