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How AI Is Helping Care Teams Get Patients the Right Care, Sooner

Dyania Health, a New Jersey AI firm, launched Synapsis AI to analyze decades of patient records across notes, reports and labs.

Dyania Health, a New Jersey AI firm, launched Synapsis AI to analyze decades of patient records across notes, reports and labs.

The system runs on NVIDIA‑accelerated servers inside a health system’s firewall, keeping data on‑premise and never leaving the hospital.

Dyania builds the models with NVIDIA NeMo libraries and optimizes them with TensorRT and TensorRT‑LLM for faster GPU inference.

Cleveland Clinic used Synapsis AI on more than 7,800 aortic valve replacement cases from 2005‑2021, generating a predictive model of valve deterioration.

The AI platform completed chart review in hours that would have taken clinicians years, providing clinicians with evidence‑based signals to verify.

What it means for you

Hospitals can adopt advanced AI without exposing patient data, using existing GPU infrastructure. For developers of free or local models, NVIDIA’s open tools like NeMo and TensorRT illustrate a path to efficient on‑premise inference.

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