AI Revolutionizes Patient Care with Synapsis AI and NVIDIA Technology
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Synapsis AI, powered by NVIDIA, transforms patient care by analyzing decades of medical records to assist clinicians in making informed decisions.
Artificial intelligence (AI) is transforming healthcare by enabling care teams to focus more on patients and less on routine tasks. A notable example is Dyania Health’s Synapsis AI, a clinical reasoning engine that leverages NVIDIA’s advanced computing technologies to analyze decades of patient records and assist clinicians in delivering timely, personalized care.
Synapsis AI: A Clinical Reasoning Engine
Hospitals store vast amounts of patient data, often in unstructured formats such as physicians’ notes, operative reports, and imaging summaries. Synapsis AI processes this data to identify clinical signals, connecting findings across years of records to answer complex medical questions. This tool provides actionable insights to care teams while ensuring every decision remains clinician-led.
Synapsis AI operates within a health system’s firewall, ensuring patient data remains secure and never leaves the hospital. By automating labor-intensive chart reviews, it allows clinicians to dedicate more time to patient care. The platform is built using NVIDIA NeMo open libraries and optimized with NVIDIA TensorRT and TensorRT-LLM for efficient performance on hospital GPU servers.
Real-World Application at Cleveland Clinic
Cleveland Clinic utilized Synapsis AI in a study involving over 7,800 aortic valve replacement patients from 2005 to 2021. The AI analyzed patient records, including echocardiograms, to develop predictive models for valve deterioration and reintervention risks at three, five, and ten years post-surgery. This analysis, which would have taken clinicians years to complete manually, was completed efficiently by the AI platform.
Dr. Lars Svensson, chief of the Heart, Vascular & Thoracic Institute at Cleveland Clinic, emphasized the significance of this technology, stating, “Using technology to bring together and analyze information that can help us predict the duration of implanted heart valves is a promising step towards enhanced outcomes and more personalized care for patients.”
Broader Implications for Healthcare
Synapsis AI’s capabilities extend beyond cardiology. Its approach can be applied to identifying patients eligible for clinical trials, addressing care gaps in oncology, and populating clinical registries. By leveraging NVIDIA’s computing power, Synapsis AI exemplifies how AI can enhance healthcare efficiency and outcomes while maintaining clinician oversight.
