🏥 CliniAI: Revolutionizing Healthcare with AI-Driven Clinical Decision Support 🚀

🎯 CliniAI is a groundbreaking AI-driven medical assistant designed to revolutionize clinical decision-making and patient care. By seamlessly integrating with existing Electronic Health Record (EHR) systems, CliniAI empowers physicians with real-time, data-driven insights to enhance diagnostic accuracy and treatment efficiency. 📊 The frontend of CliniAI is built using the modern and efficient Svelte framework, ensuring a smooth and responsive user experience. 😊

🧠 State-of-the-Art AI Model and Backend

CliniAI leverages advanced Large Language Models (LLMs) with access to a vast dataset of over 400,000 real patient records. 📚 This enables CliniAI to think like a physician, provide practical advice, and deliver top-tier performance rivaling industry giants like Google's Med-PaLM 2 and MedLlama 2. 🌟 The backend of CliniAI is powered by Supabase, utilizing its vector search and PostgreSQL offerings to efficiently store and retrieve patient data. 💾 Additionally, CliniAI integrates GPT-4 and OpenAI text embeddings to enhance its natural language processing capabilities and provide more accurate and contextually relevant insights. 🗣️

💰 Cost-Effective and Efficient

With its lean infrastructure and optimized model size, CliniAI offers unparalleled performance at a fraction of the cost compared to larger AI models. 💸 This cost-effectiveness, combined with rapid inference times, ensures faster and more accurate clinical decisions when they matter most. ⏰

🩺 Diverse Applications

CliniAI finds practical applications across various healthcare settings. In the ER, it provides real-time diagnostic suggestions for acute conditions. 🚨 For chronic diseases, it analyzes patient data trends to alert physicians of potential complications. 📈 It enhances diagnostic precision by cross-referencing symptoms with up-to-date medical knowledge. 🔍 It offers data-driven treatment recommendations for personalized patient care. 💉 It streamlines clinical workflows by automating the intake of clinical information. 📝

DEMO VIDEO: https://youtu.be/Nlxf7LnEu2Q