In machine learning, a foundation model1 (FM) is a model trained using self-supervised learning on a large scale of unlabeled data to mathematically capture salient information from inputs to the model. Once trained, the FM can be adapted to enable specific tasks in new contexts, especially including previously unforeseen contexts and tasks.

“The open comment period is the time for cardiovascular physicians, allies in other medical specialties, patients, and others to make their voices heard on why an independent CV Board is the best path for cardiologists to stay up-to-date on best practices and evidence-based care, ensuring patients receive the best possible care,” said Jeffrey Kuvin, MD, president of the proposed Board’s new Board of Directors. “The field of cardiovascular medicine has evolved dramatically over the past few decades; now is the right time to develop an independent cardiovascular Board.”

The launch incorporates learnings from a pilot program with HCA Healthcare (NYSE: HCA), one of the nation’s leading healthcare providers. As part of the pilot, ED physicians in four HCA Healthcare hospitals utilized Augmedix Go to automate medical documentation, with the product instantaneously drafting their medical notes from patient visits.