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Is Clover Health Stock a Buy?

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The company sells Medicare Advantage plans, focusing on customer experience and leveraging machine learning and artificial intelligence to …


Transpara breast AI by ScreenPoint Medical reaches major milestone in the lead up to …

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It is the first and remains the only DEEP LEARNING system to be FDA cleared for use on both 2D and 3D mammograms and now is first of its kind to …


FDA leader talks evolving strategy for AI and machine learning validation

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And AI is helping healthcare professionals and patients get more insights into how they can translate what we already knew in different silos into …


Patient Safety, Data Privacy Key for Use of AI-Powered Chatbots

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… mention of CAs in the US Food and Drug Administration’s (FDA) proposed regulatory framework for AI or machine learning for software as a medical …


Today initial diagnosis comes with high levels of accuracy: Dr. John Danaher - ET HealthWorld

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Shahid Akhter, editor, ETHealthworld spoke to Dr. John Danaher, President, Clinical Solutions, Elsevier, to know what role artificial intelligence plays in healthcare and how Elsevier plans to improve diagnostic outcomes by way of AI and machine learning. Clinical errors and role of AI and health analytics There are three examples. The first one is making an initial diagnosis. What can be achieved with artificial intelligence, machine learning and actual language processing is the ability to assist doctors to make more accurate initial diagnosis. Second is the work being done in the area of image recognition with radiology and pathology.


The 2018 Survey: AI and the Future of Humans

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"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.