Welcome to AI Doctor Council

Multi-Agent Consensus-Driven Medical Diagnosis System

Beyond a single opinion. Get reliable, AI-powered medical insights from a collaborative council of specialists.

Welcome to a multi-agent, consensus-driven medical diagnosis system — where multiple AI doctor agents, each an expert in a distinct medical specialty, debate, challenge, and refine one another's conclusions. Like a virtual medical boardroom, these agents hold each other accountable, iterating until they converge on the most accurate diagnosis and treatment plan possible.

In high-stakes fields like healthcare, a single hallucination from an AI model isn’t just a bug — it’s a risk to human life. Traditional LLMs, while impressive, often act as solo decision-makers, prone to confident errors. Our solution? A radical shift from individual outputs to collaborative reasoning.

This system doesn’t just respond — it thinks together. The result is deeper insight, reduced hallucinations, and a new standard for AI reliability in medicine.

DiscussionLoopDoctorAgent ADoctorAgent BDoctorAgent CConsensusEvaluationAgentNo ConsensusUserOrchestratorSummarizerAgentDiagnosis andTreatment PlanSymptomsConsensusReached

Future Works

Patient Profiling

A dedicated agent will construct a comprehensive patient profile, maintaining a longitudinal health record of past illnesses, diagnoses, treatments, allergies, and vaccination history. This data will empower the doctor council to make more accurate, context-aware decisions by identifying crucial patterns and long-term health trends.

Document & Report Uploads

Users will be empowered to enrich their profiles by securely uploading relevant medical documents, such as past prescriptions and lab reports. This provides the doctor council with critical, objective data, complementing self-reported symptoms to achieve a more comprehensive and accurate diagnosis.

Meet the Creator

Email

utkarsh.vijayvergia21@gmail.com

Send an Email

LinkedIn

Utkarsh Vijayvergia

Connect on LinkedIn

GitHub

UtkarshVijayvergia

View on GitHub