Manufacturer Nvidia recently welcomed the 1000th healthcare AI startup company to its Nvidia Inception program, which is a fast-track service for companies seeking to utilize machine learning for their ventures. Today the company officially announced The Nvidia Inception Alliance for Healthcare, which gives members access to resources meant specifically for the healthcare industry, the GE Healthcare Edison Developer Program.
Nvidia Inception is intended as a customized support service for startup companies working with machine learning, providing training and technical assistance with artificial intelligence, as well as early access to the manufacturer’s cutting-edge hardware. The Alliance for Healthcare specifically introduces a host of benefits for FDA-approved Premier members, namely access to Nuance AI Marketplace for Diagnostic Imaging, a database of verified medical models for training algorithms.
Nvidia will be hosting a special address open to the public tomorrow at 5 pm CT (11 am Monday GMT) to discuss how the program is working with healthcare professionals in fields ranging from radiology and data science, which has the potential to automate mundane repetitive tasks in medical labs and more quickly interpret complex data, to the development of medical devices, such as prosthetic arms that more accurately predict the user’s movements.
The graphics card manufacturer has been leaning hard into the development of machine learning and artificial intelligence over the past decade. Just last September Nvidia acquired ARM from Soft Bank for $40 million, and those resources are undoubtedly being utilized, at least in part, for this program. Karley Yoder, VP and General Manager of Artificial Intelligence at GE Healthcare hopes this program “will help improve the quality of care, lower healthcare costs and deliver better outcomes for patients.”
Sophisticated and detailed VR training modules completely unlike Surgeon Simulator 2 are already being used to train the next generation of healthcare professionals, and may make distance learning possible for the next generation of medical students. The possibilities presented by AI-powered medical technology are staggering, and it’s come incredibly far technologically just in the last 50 years.
Source: Nvidia
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