Predict Disease RiskWith Neural Precision
Our deep learning models analyze 50+ biomarkers simultaneously, delivering explainable risk scores across 15 disease categories with 98.3% accuracy.
Predict Risk.Explain EveryDecision.
TrustMedAI combines explainable AI, multi-disease risk modeling, and blockchain-verified hospital recommendations — putting transparent, trustworthy predictions at the center of your healthcare journey.
No credit card · Results in under 3 minutes · Your data stays encrypted
Built on Three Pillars
of Trust
Every prediction is explainable, every hospital is verified, and every record is immutable on-chain.
Explainable AI (XAI)
SHAP values and LIME explanations reveal exactly which biomarkers drove your risk score — no black-box decisions.
Multi-Disease Prediction
Simultaneous risk assessment across 15+ diseases including diabetes, cardiovascular, and renal conditions.
Blockchain Verification
Hospital credentials and prediction logs are cryptographically anchored on Hyperledger Fabric.
Intelligent Hospital Matching
AI-powered ranking matches your disease profile to the most capable and highest-rated facilities.
How TrustMedAI Works
From biomarker input to a verified hospital recommendation in under 3 seconds.
Input Health Data
Upload lab reports, biomarkers, vitals, and medical history in FHIR, HL7, or PDF formats.
AI Risk Analysis
Ensemble ML models run simultaneous multi-disease risk prediction with SHAP explanations generated.
Blockchain Logging
Every prediction is cryptographically signed and written to Hyperledger Fabric for immutable audit.
Hospital Matched
AI matches your risk profile to verified hospitals ranked by specialty, proximity, and quality score.
15+ Conditions,
One Platform
Comprehensive multi-disease risk modeling using validated clinical datasets and ensemble methods.
Type 2 Diabetes
HbA1c, fasting glucose, insulin resistance, and 22 metabolic biomarkers analyzed.
XGBoost · 97.2% AUCCardiovascular Disease
Framingham-plus risk model with echocardiogram integration and ECG pattern recognition.
Random Forest · 95.8% AUCChronic Kidney Disease
eGFR trajectory modeling, proteinuria patterns, and creatinine time-series analysis.
LightGBM · 96.1% AUCNeurological Disorders
Parkinson's, Alzheimer's, and stroke risk from cognitive and biofluid markers.
Deep Neural Net · 93.4% AUCHypertension
Blood pressure trajectory, arterial stiffness, and lifestyle factor interaction modeling.
SVM Ensemble · 94.9% AUC+ 10 More Conditions
Liver cirrhosis, COPD, thyroid disorders, anemia, osteoporosis, and more — continuously expanding.
Multi-Label ClassifierEvery Record,
Immutably Verified
Hyperledger Fabric anchors prediction logs, hospital credentials, and patient records — creating a tamper-proof healthcare audit chain.
Zero-Knowledge Proof Privacy
Patient data verified without exposure using ZK-SNARK proofs on Hyperledger.
Smart Contract Automation
Hospital credential validation and recommendation triggers governed by auditable smart contracts.
Interoperable Health Chain
Connects with national health registries and EHR systems via FHIR R4 bridge.
Your Ideal Hospital,
Intelligently Found
AI-ranked hospitals based on your disease risk profile, specialization, distance, and blockchain-verified quality scores.
Healthcare Decisions Deserve
Full Transparency
Join thousands of patients and clinicians using TrustMedAI to predict, understand, and act on health risks with full blockchain accountability.