In this free webinar, experts from MD.ai and NTT DATA explore AI in radiology using machine learning and recommend ways to validate algorithms. .. Read more Thanks to advancements in deep learning and imaging analytics, sophisticated algorithms have the potential of transforming radiology, promising big productivity gains with reduced diagnostic errors. However, if not validated properly, these AI algorithms can increase the risk of systemic errors. To mitigate the risk that comes with adopting new technology, you’ll need an understanding of its limitations through a high level of validation. To fully benefit from the right AI tool, you should “try before you buy” and make sure the algorithm works well on your unique patient population. Make plans now to attend this one hour webinar!. Haley Wight Data Scientist NTT DATA Healthcare and Life Sciences Haley leverages big data and machine learning solutions for pharmaceutical and medical device companies.
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