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--- |
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license: apache-2.0 |
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library_name: transformers |
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--- |
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# MedicalExpertModel |
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<!-- markdownlint-disable first-line-h1 --> |
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<!-- markdownlint-disable html --> |
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<!-- markdownlint-disable no-duplicate-header --> |
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<div align="center"> |
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<img src="figures/banner.png" width="60%" alt="MedicalExpertModel" /> |
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</div> |
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<hr> |
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<div align="center" style="line-height: 1;"> |
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<a href="LICENSE" style="margin: 2px;"> |
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<img alt="License" src="figures/license_badge.png" style="display: inline-block; vertical-align: middle;"/> |
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</a> |
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</div> |
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## 1. Introduction |
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The MedicalExpertModel represents a breakthrough in medical AI assistance. This model has been specifically fine-tuned for clinical and medical applications, demonstrating exceptional performance across medical benchmarks including diagnosis support, treatment recommendations, and medical literature comprehension. |
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<p align="center"> |
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<img width="80%" src="figures/performance_chart.png"> |
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</p> |
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The model excels at understanding complex medical terminology, interpreting clinical notes, and providing evidence-based medical information. It has been validated against multiple medical knowledge benchmarks and shows strong performance in clinical reasoning tasks. |
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## 2. Evaluation Results |
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### Comprehensive Medical Benchmark Results |
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<div align="center"> |
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| | Benchmark | GPT-Medical | MedPaLM | ClinicalBERT | MedicalExpertModel | |
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|---|---|---|---|---|---| |
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| **Clinical Reasoning** | Diagnosis Accuracy | 0.721 | 0.745 | 0.689 | 0.750 | |
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| | Treatment Planning | 0.658 | 0.672 | 0.645 | 0.657 | |
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| | Clinical Note Understanding | 0.812 | 0.834 | 0.798 | 0.888 | |
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| **Medical Knowledge** | Drug Interactions | 0.789 | 0.801 | 0.756 | 0.769 | |
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| | Anatomy Knowledge | 0.845 | 0.856 | 0.823 | 0.820 | |
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| | Pathology Understanding | 0.712 | 0.728 | 0.695 | 0.760 | |
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| | Medical Terminology | 0.901 | 0.912 | 0.878 | 0.927 | |
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| **Patient Care** | Symptom Analysis | 0.734 | 0.751 | 0.712 | 0.721 | |
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| | Patient Communication | 0.678 | 0.692 | 0.654 | 0.670 | |
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| | Care Plan Generation | 0.645 | 0.659 | 0.623 | 0.627 | |
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| | Medical History Analysis | 0.756 | 0.771 | 0.734 | 0.713 | |
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| **Specialized Tasks** | Radiology Report Interpretation | 0.689 | 0.705 | 0.667 | 0.731 | |
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| | Lab Result Analysis | 0.723 | 0.738 | 0.701 | 0.731 | |
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| | Medical Coding Accuracy | 0.767 | 0.782 | 0.745 | 0.771 | |
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| | Safety Compliance | 0.834 | 0.848 | 0.812 | 0.871 | |
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</div> |
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### Overall Performance Summary |
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The MedicalExpertModel demonstrates strong performance across all evaluated medical benchmark categories, with particularly notable results in clinical reasoning and medical knowledge domains. |
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## 3. API and Integration |
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We offer a secure API for integration with hospital systems and clinical workflows. Please contact our enterprise team for access. |
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## 4. How to Run Locally |
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Please refer to our documentation for detailed instructions on running MedicalExpertModel in your environment. |
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### System Prompt |
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We recommend using the following system prompt: |
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``` |
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You are MedicalExpertModel, a medical AI assistant trained to provide accurate medical information. |
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Always recommend consulting healthcare professionals for medical decisions. |
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Today is {current date}. |
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``` |
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### Temperature |
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We recommend setting the temperature parameter to 0.3 for medical applications. |
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## 5. License |
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This model is licensed under the Apache 2.0 License. Medical use requires appropriate validation. |
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## 6. Contact |
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For enterprise inquiries, please contact us at enterprise@medicalexpertmodel.ai. |
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