--- title: Medical Coding API emoji: ๐Ÿฅ colorFrom: blue colorTo: green sdk: docker pinned: false license: mit app_port: 7860 tags: - medical - healthcare - icd-10 - cpt - phi-3 - fastapi --- # ๐Ÿฅ Medical Coding API AI-powered API for extracting **ICD-10** and **CPT codes** from clinical provider notes using Microsoft Phi-3. ## ๐Ÿš€ Features - โœ… Extract ICD-10 diagnosis codes - โœ… Extract CPT procedure codes - โœ… Supports notes up to 10,000 characters (~2,500 words) - โœ… JSON output format - โœ… GPU-accelerated inference (when available) - โœ… Automatic text truncation - โœ… Production-ready with error handling ## ๐Ÿ“ก API Endpoints ### POST `/predict` Extract medical codes from clinical note. **Request:** ```json { "note": "Your clinical note here..." } ``` **Response:** ```json { "result": { "icd10_codes": ["I10", "E11.9"], "cpt_codes": ["99213"] }, "raw_output": "...", "note_length": 250, "truncated": false, "processing_time": 3.45 } ``` ### GET `/health` Check API health status. ### GET `/docs` Interactive API documentation (Swagger UI). ## ๐Ÿงช Usage Examples ### cURL ```bash curl -X POST "https://YOUR-SPACE.hf.space/predict" \ -H "Content-Type: application/json" \ -d '{"note": "Patient with HTN, BP 160/95. Prescribed lisinopril."}' ``` ### Python ```python import requests response = requests.post( "https://YOUR-SPACE.hf.space/predict", json={"note": "Patient with diabetes, HbA1c 8.2. Started metformin."} ) print(response.json()) ``` ### JavaScript ```javascript fetch("https://YOUR-SPACE.hf.space/predict", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ note: "Clinical note here..." }), }) .then((res) => res.json()) .then((data) => console.log(data)); ``` ## โš™๏ธ Technical Details - **Model:** RayyanAhmed9477/med-coding (Phi-3 based) - **Framework:** FastAPI + Transformers - **Deployment:** HuggingFace Spaces (Docker) - **First Request:** 30-60 seconds (model loading) - **Subsequent Requests:** 2-10 seconds ## ๐Ÿ“ License MIT License