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Rethinking the Future of Medical Imaging
An Episode of the AI: Gov Reimagined Podcast
Presented by Google Cloud
When it came to understanding and fighting the COVID-19 pandemic, governments across the globe called on the most advanced healthcare technologies available. Chief among these was artificial intelligence, which played a key role in tracing the virus and understanding its spread. As a result, AI’s use in the healthcare field has advanced at a rapid pace, possibly compressing nearly two years' worth of digital transformation into just a few months.
While the pandemic has both created and highlighted major AI advancements in the healthcare field, it’s also brought to the fore the need to continue advancing the technology — and the gains that can be made in doing so.
These advantages are already evident at the Defense Innovation Unit, which has contracted with Google Cloud to prototype an AI-enabled digital pathology solution that aims to improve predictive cancer diagnoses at select DoD facilities.
That's what our host and GovExec's Vice President and Publisher for Federal Technology Markets James Hanson digs into on this episode of AI: Gov Reimagined. Joining him to discuss the possibilities of AI in healthcare, the project the DIU is undertaking around predictive cancer diagnoses, and how AI and augmented reality can move the needle on patient outcomes and cost are Dr. Niels Olson, the DIU chief medical officer and originator of the Predictive Health project, Dr. Craig Mermel, senior staff research scientist at Google Health, and Google Cloud’s Head of Defense Intelligence Sales Scott Frohman.
Check out what they have to say by listening to the full episode below. Or download and subscribe on Apple Podcasts, Spotify or SoundCloud to take The Federal Innovator with you on your favorite device.
This content was produced by Government Executive Media Group’s Studio 2G and made possible by our sponsor, Google Cloud. The editorial staff of GovExec was not involved in its preparation.