🏆 Breakthrough in Explainable Medical AI

CortexMD

Revolutionizing medical diagnosis with transparent AI that doctors can trust. Where cutting-edge multimodal intelligence meets rigorous logical verification.

The Critical Challenge

AI models in healthcare function as black boxes. Medical practitioners hesitate to trust AI predictions without clear, verifiable reasoning.

Life-and-Death Stakes

Doctors can't trust AI diagnoses without knowing the reasoning, and patients deserve clear explanations.

No Structured Validation

Most AI diagnosis methods lack a step to break explanations into verifiable, logic-based statements.

Hallucination Risk

LLMs often generate convincing but false medical logic, which can mislead doctors.

Our Revolutionary Solution

CortexMD transforms opaque AI into a reliable clinical assistant through innovative First-Order Logic verification and multimodal intelligence.

MedGemma Diagnosis Generation

Advanced multimodal AI processes medical text, FHIR records, and imaging for comprehensive diagnostic context.

Multiple Reasoning Paths

Secondary LLM generates diverse reasoning pathways, ensuring comprehensive analysis of each diagnosis.

FOL-Based Verification

First-Order Logic converts explanations into verifiable statements, checked against patient data and medical ontologies.

Confidence Scoring

Present diagnosis with verified explanations and confidence levels, enabling informed medical decisions.

Trusted AI • Better Outcomes

Innovation Highlights

Novel fusion of symbolic logic and neural models for real-time, reliable decision support.

Interpretability & Explainability

Beyond basic XAI - we provide causal, semantic explanations instead of just highlighting regions.

Breakthrough Technology
Real-Time Processing

FOL predicates checked independently and in parallel, dramatically speeding up verification.

Performance Optimized
Novel Data Synthesis

Creates structured, symbolic knowledge base through explanation decomposition into FOL predicates.

Data Innovation

Meet Team Windows 12 Devs

Innovative minds from Ramaiah Institute of Technology pushing the boundaries of medical AI.

Prathmesh Sayal
Lead AI Researcher

Specializing in multimodal AI and explainable machine learning for healthcare applications.

Kshiraja Nelapati
Logic Systems Engineer

Expert in First-Order Logic verification and symbolic reasoning systems for medical AI.

Omkar
Clinical Integration Specialist

Focused on real-world clinical applications and healthcare system integration.

Ramaiah Institute of Technology

Estimated Project Cost: ₹4,70,000

Clinical & Societal Impact

For Healthcare Professionals

Boosts clinician confidence in AI-assisted diagnosis

Reduces diagnostic errors through transparent reasoning

Enables safe adoption of advanced AI for better outcomes

For Patients

Increases transparency in medical decision-making

Builds trust through understandable explanations

Empowers with clear, comprehensible health insights

Research Validation

Our approach demonstrates superior performance compared to traditional diagnostic methods

Ready to Transform Medical AI?

Join us in revolutionizing healthcare with transparent, trustworthy AI that puts doctors and patients first.