MedBrainSquad โ€” Scribe Agent Adapter

LoRA fine-tuned adapter for MedGemma 1.5 4B, trained to convert raw clinical shorthand and doctor dictation into structured SOAP JSON format.

Project

Part of the MedBrainSquad Clinical Safety Net โ€” a three-tier adversarial multi-agent pipeline for safe, hallucination-resistant clinical documentation.

๐Ÿ”— Full project: github.com/aydiny/medbrain-squad ๐Ÿ”— Auditor Adapter: aydin237/medbrain-squad-auditor

Training Details

  • Base model: google/medgemma-1.5-4b-it
  • Method: LoRA (Rank 16, Alpha 32)
  • Dataset: 500-row Teacher-Student distillation dataset (Gemini 3.0 Pro teacher โ†’ MedGemma student)
  • Hardware: Dual NVIDIA T4 (Kaggle)
  • Framework: HuggingFace PEFT + TRL

Intended Use

Research and development of clinical NLP pipelines. Demonstrates adversarial multi-agent safety architecture for regulated healthcare environments (NHS/EU GDPR).

โš ๏ธ Limitations & Disclaimer

  • Research prototype โ€” not validated for clinical deployment
  • Base model (MedGemma 1.5 4B) subject to Google HAID Terms
  • Known hallucination risk in edge cases โ€” mitigated by Auditor agent in the full pipeline
  • Trained on synthetic data only
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