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Radiology could be the most important area of medical AI. Most FDA approvals in medical AI are for radiology – with almost 1000 approvals since 2017. So radiology is undergoing a major AI transformation. But the abundance of radiology AI tools has created a big problem. With so much choice, healthcare providers are often confused about
◦ which tools to deploy
◦ how to deploy them
◦ how they will work
◦ whether they could conflict with current computer systems
This uncertainty is a significant brake on progress. A part of the solution to that problem is that of AI marketplaces, or platforms. And what are the lessons for other areas of medical AI? With me to discuss this important area is Pelu Tran, CEO of Ferrum Health
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Radiology could be the most important area of medical AI. Most FDA approvals in medical AI are for radiology – with almost 1000 approvals since 2017. So radiology is undergoing a major AI transformation. But the abundance of radiology AI tools has created a big problem. With so much choice, healthcare providers are often confused about
◦ which tools to deploy
◦ how to deploy them
◦ how they will work
◦ whether they could conflict with current computer systems
This uncertainty is a significant brake on progress. A part of the solution to that problem is that of AI marketplaces, or platforms. And what are the lessons for other areas of medical AI? With me to discuss this important area is Pelu Tran, CEO of Ferrum Health
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