arogixai-development/DermaCare_AI

DermaCare AI is an offline-first clinical decision support system for dermatology, designed to assist healthcare professionals in diagnosing skin conditions and verifying treatment safety in low-resource environments. Powered by local AI models (Ollama + Phi-3), it ensures fast, private, and reliable medical reasoning without internet dependency. # 🩺 DermaCare AI ### **AI-Powered Clinical Decision Support for Modern Dermatology** *A sophisticated, clinician-assistive decision support platform designed to bring reliable, secure, and offline-resilient AI diagnostics to modern clinical workflows.* --- Live MVP Client • V0 Prototype Details • System Architecture • Clinical Safety • Developer Setup --- ## 💎 Project Overview **DermaCare AI** is an advanced, clinician-in-the-loop Clinical Decision Support System (CDSS) specifically engineered to elevate dermatological care in diverse environments—ranging from premium urban practices to resource-constrained clinics. In dermatology, early triage and precise diagnostic mapping are critical. However, clinicians often face extreme caseloads, administrative friction, and fluctuating network reliability. DermaCare AI bridges this gap by acting as a highly intelligent, secure, and local-first clinical co-pilot. By leveraging state-of-the-art local Large Language Models (LLMs) alongside deterministic clinical enrichment pipelines, it helps clinicians formulate diagnostic hypotheses, generate structured SOAP documentation, and verify drug interactions—ensuring that patient data remains fully private, secure, and on-premises. --- ## 🌟 Core Platform Features DermaCare AI delivers a suite of high-performance clinical tools built to fit naturally into existing healthcare workflows: | Feature | Description | Clinical Impact | | :--- | :--- | :--- | | **🩺 AI Differential Diagnosis** | Generates a structured list of potential dermatological conditions, calibrated by Fitzpatrick skin phototypes. | Expands diagnostic coverage and highlights rare clinical variants. | | **📝 SOAP Report Generation** | Automatically drafts standard Subjective, Objective, Assessment, and Plan notes based on patient consultations. | Eliminates hours of manual typing and structures reports for EMR compatibility. | | **💊 Treatment Recommendation** | Outlines safe, localized care pathways, …