Artificial intelligence has traditionally been used to make health care safer and better. Now generative AI is making efficiency a priority.
Over the last few decades, traditional artificial intelligence has largely been in service of making healthcare safer and better . However, it's only its successor — generative AI — that has made efficiency a priority., known primarily as a hardware and chip company, has been working to optimize the health care space for 15 years.
Translational medicine, Fessel's bread and butter, is how you get from a good idea to a thing that is actually poised to help people. In that, AI is the quest of the moment.AI is already being deployed to streamline contact centers, modernize code to make institutions cloud native and create documents to help reduce medical burnout . However, the thing about document creation, says Dr.
Nvidia practices this by partnering with a range of organizations to deploy"microservices," or software that integrates into an institution's existing applications. In addition to helping navigate evolving regulatory terrain , it makes transformation more within reach. For example, Nvidia partnered with a company called Abridge on one of its first applications, which integrates into the electronic health record system Epic to streamline medical summaries.
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