A novel, state-of-the-art system that transcends traditional symptom checkers by establishing a multi-layered agentic ecosystem — powered by Gemma 4, orchestrated by LangGraph, and grounded in RAG.
Transcending traditional symptom checkers through a hub-spoke topology — one Central Generalist Agent orchestrating 15 specialized sub-agents.
Cardiology, Neurology, Pulmonology, Orthopedics, and more — each fine-tuned on domain-specific medical datasets.
Powered by 600+ medical books and high-fidelity vector datasets — reducing hallucinations and ensuring clinical accuracy.
Continuous reinforcement learning optimizes prompt templates and decision policies based on feedback rewards.
FastText + IndicTrans2 + NLLB-200 — enabling diagnosis in multiple languages with medical terminology accuracy.
Two-stage pipeline with ClinicalNER and Flan-T5-large — blocking unauthorized prescriptions and ensuring ethical compliance.
ECG, EEG, X-ray, Ultrasound, Prescription OCR, and Lab Report analyzers — processing raw medical data into structured reports.
Each specialist agent is fine-tuned on domain-specific datasets and grounded in RAG for precision.
Start your journey with Sushrut AI — precision diagnostics powered by a multi-agent framework, grounded in 600+ medical texts, and optimized with reinforcement learning.