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kingofthecipher-ctrl/GemmaCare-V1

Domaine:

healthcare

Type de record:

softwaremodel
Créateur:
kin
Hôte:
Multimodal, Multilingual AI clinical triage for healthcare workers in low-resource settings # GemmaCare — AI-Powered Clinical Triage Assistant > **Version 1.0** · First Public Release · May 2026 GemmaCare is an open-source, multimodal clinical triage tool designed for healthcare workers in remote and resource-limited settings. A health worker can record patient audio in any language, optionally photograph a medication label or wound, and receive a structured clinical assessment — including urgency scoring, medication cross-verification, and bilingual patient instructions — in seconds, powered entirely by a locally-run Gemma 4 model. --- ## Demo *Click to watch the demo on YouTube* --- ## Table of Contents 1. Overview 2. System Requirements 3. Quick Start 4. Detailed Installation 5. Configuration 6. Running the App 7. Features 8. Architecture 9. Urgency Scoring Rubric 10. Troubleshooting 11. Developer Credits 12. Technology Credits 13. License 14. Medical Disclaimer --- ## Overview GemmaCare processes patient information through a six-step AI pipeline: 1. **Audio Transcription** — Gemma 4 transcribes and detects language from patient audio 2. **Image Analysis** — Gemma 4 vision describes medication labels, wounds, or other clinical photos 3. **Synthesis** — When both audio and image are present, inputs are reconciled into a unified clinical picture 4. **Clinical Extraction** — Structured triage data is extracted: chief complaint, symptom list, urgency level (1–5), recommended action, confidence score 5. **Medication Safety** — Four parallel safety checks compare audio-mentioned vs. image-visible medications 6. **Bilingual Instructions** — Patient-friendly care instructions generated in both patient and clinician languages --- ## System Requirements ### Minimum Hardware | Component | Minimum | Recommended | | --- | --- | --- | | CPU | 8-core x86-64 (e.g. Intel i5-12th gen) | 16-core or Apple Silicon M2+ | | RAM | 16 GB | 32 GB | | GPU | None required (CPU inference) | NVIDIA RTX 3080+ / Apple Silicon unified memory | | Disk | 20 GB free (mo …