Nuance Communications, Inc., and NVIDIA announced a partnership that for the first time puts AI-based diagnostic tools directly into the hands of radiologists and other clinicians at scale, enabling the delivery of improved patient care at lower costs. The partnership brings together the nationwide scale of the Nuance Precision Imaging Network — an AI-powered cloud platform that delivers patient insights from diagnostic imaging into clinical and administrative workflows — and MONAI, an open-source and domain-specialized medical-imaging AI framework co-founded and accelerated by NVIDIA. Together, they enable the safe and effective validation, deployment and evaluation of medical imaging AI models.

Mass General Brigham is among the first major medical centers to use MONAI and the Nuance Precision Imaging Network to define a unique workflow that links medical-imaging model development, application packaging, deployment and clinical feedback for model refinement. It has more than 80,000 employees providing care to 1.5 million patients annually, with $2.3 billion in annual research spending. Using the combined offering, the medical center has deployed a breast density AI model that has reduced the waiting period for results from several days to just 15 minutes.

Women can now talk to a clinician about the results of their scan and discuss next steps before they leave the facility, rather than going through the stress and anxiety of waiting for results. The continuous clinic-to-research feedback loop reduces model adaptation times from years to weeks. Domain shifts in data now take weeks instead of months, and issue detection and repair takes minutes rather than hours.

It has also allowed Mass General Brigham to reduce medical-imaging AI application development and maintenance costs. MONAI was built by the medical imaging community to transform research breakthroughs and AI applications into clinical impact. It includes MONAI Deploy, the accelerated processing pipeline that delivers MONAI Application Packages (MAPs), which easily integrate into healthcare systems, using interoperability standards such as DICOM, across data center and cloud environments.