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medgemma-4b-nail-clinical – AI Model by isumenuka | AlphaNeural AI

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isumenuka/
medgemma-4b-nail-clinical

like

0

text-generation

clinical-assessment

google/medgemma-4b-it

endpoints_compatible

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MedGemma-4B Nail Disease Clinical Assessment (SFT LoRA)

Fine-tuned from google/medgemma-4b-it using QLoRA (SFT phase).

Task

Given a nail disease diagnosis + patient info → outputs structured clinical JSON:

medical_priority: Low / Medium / High
follow_up_required: No / Yes
care_type: Nail Care / Topical Treatment / Specialist Evaluation / None
next_step: Awareness / Monitor Condition / Schedule Doctor Visit
worry_score: 1–10
clinical_notes: brief reasoning

Deploy on HuggingFace Inference Endpoints

This repo contains a custom handler.py — no AutoConfig needed.

Required env-var on the endpoint:

HUGGING_FACE_HUB_TOKEN = hf_xxxxxxxxxxxx

Input:

{"inputs": "{"disease_name": "Psoriasis", "age": 45, "gender": "Female", "nail_visual_features": "pitting and discolouration", "medical_history": "None"}"}

Output:

{"generated_text": "...", "parsed": {"medical_priority": "Medium", ...}}

Disclaimer

Research use only. Not for clinical diagnosis.