Injecting AI into Healthcare: Medical Innovators Harness NVIDIA Tools for AI-Powered Future
More than 1,500 healthcare experts will converge next week in Boston for the World Medical Innovation Forum to discuss the impact of AI in clinical care, and hear talks by top names in biotech and pharma, U.S. cabinet secretaries and federal agency leaders — and NVIDIA founder and CEO Jensen Huang.
Huang will have a fireside chat with Keith Dreyer, vice chairman of radiology at Massachusetts General Hospital. They’ll be introduced by Cathy Minehan, chairman of the hospital’s board of trustees.
At last year’s event, Huang spoke about the potential of AI to change healthcare, calling data the vital “source code” for companies in the future. This time, he’ll share the latest results of NVIDIA’s innovation in healthcare with partners like Massachusetts General Hospital.
Worldwide, NVIDIA GPUs are powering AI applications to discover potential drug molecules, improve the consistency of mammogram assessments, and detect rare congenital heart defects. And this is just the start.
Across the healthcare industry, AI researchers and innovators rely on NVIDIA’s deep learning and accelerated computing for medicine.
Leading minds in medicine gathered for our GPU Technology Conference in San Jose last month, including attendees from five of the top seven radiology departments in the United States and four of the top five academic medical centers in the country.
Eric Topol, founder and director of the Scripps Research Translational Institute, spoke to a packed audience on the potential for deep learning to help healthcare institutions provide better, faster and cheaper care. NVIDIA and Scripps established in 2018 a center of excellence for AI in genomics and digital sensors.
Through more than 40 healthcare sessions and several booth exhibits, panels and lightning talks, the conference highlighted how AI and GPUs are used in every pillar of healthcare, from medical imaging and genomics to drug discovery and patient care.
And NVIDIA showcased Clara AI, a software toolkit built for radiologists. Containing more than a dozen state-of-the-art classification and segmentation models, Clara AI provides experts with time-saving AI-assisted annotation tools and transfer learning capabilities.
Radiologists, data scientists and developers can now gain access to two software development kits — the Clara Train SDK and Clara Deploy SDK, enabling AI-assisted workflows for medical imaging.
Attendees of WMIF can learn more about the Clara AI toolkit in a demo at the MGH & BWH Center for Clinical Data Science booth.
The post Injecting AI into Healthcare: Medical Innovators Harness NVIDIA Tools for AI-Powered Future appeared first on The Official NVIDIA Blog.