Clinical outcomes at scale worldwide

Cleveland Clinic reduces cardiac event mortality by 31%

The Cleveland Clinic Heart & Vascular Institute deployed NeuralCare's cardiology model across its 52-bed cardiac ICU and 11 outpatient clinics. The transformer-based model processes continuous telemetry, lab results, and medication records in real time — surfacing high-risk patients 6–18 hours before clinical deterioration.

Integration with their Epic EHR completed in 3.5 hours using the FHIR R4 connector. GPU inference latency averaged 41ms at peak load — well under their 200ms SLA requirement.

"NeuralCare surfaces patients we would have missed for another 12 hours. At Cleveland Clinic scale, that translates directly to lives saved."

— Dr. Michael Torres, Chief of Cardiac Intensive Care

"Federated learning let us train a model on 40 million NHS patients without moving a single row of data. The GDPR compliance pathway was clean."

— Dr. Priya Sharma, NHS Digital AI Lead

NHS England deploys federated oncology screening across 127 Trusts

NHS England partnered with NeuralCare to train a population-scale cancer screening model across 127 NHS Trusts covering 40 million patient records — entirely without centralizing data. Our federated learning protocol ensured full GDPR compliance and NHS Information Governance certification.

Differential privacy with ε=8 was applied to all gradient updates. The resulting model achieves AUC 0.968 on held-out validation sets — surpassing single-institution baselines by 12 points. PyTorch-based local training runs on each Trust's existing on-premise hardware; ONNX Runtime handles cross-platform compatibility.

Johns Hopkins cuts sepsis mortality 27% with 6-hour early warning

Johns Hopkins Hospital integrated NeuralCare's sepsis-v5 model across its 1,094-bed main campus and two satellite facilities. The model monitors 47 continuous variables per patient — vital signs, lab trends, medication changes, and nurse-documented observations — updating risk scores every 15 minutes.

Clinical staff receive risk-stratified alerts in the Epic EHR workflow — no new interface to learn. The NeuralCare explainability layer surfaces the three top contributing signals per alert, enabling rapid clinical validation. False positive rate of 8% is 4x lower than conventional SOFA-based screening.

"Six hours is the difference between catching sepsis early and coding a patient. NeuralCare changed our ICU's survival curve."

— Dr. Amanda Chen, Director of Critical Care Medicine