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Artificial intelligence, which recognizes patterns in data, images, and sound, is poised to move from the laboratory to the clinic and may upend health delivery in the process. Soon, AI may generate algorithms to calculate an individual patient’s risk of hospital-acquired infection, based on vital signs and other health records, and to predict when it is safe to remove som...
With advances in testing and technology, the world of professional sports is beginning to use data to evaluate athlete health and to predict — and ideally, prevent — injury. Experts equipped with 3D motion capture technology are now essential members of team training staffs. Are these new technologies and recovery interventions increasing player longevity? Will cost-effect...
Many health systems are retooling to provide “patient-centered care,” defined by the Institute of Medicine as a partnership between providers and patients that respects individual preferences, needs, and values. The use of big data to individualize treatment, detect clinical trends, share best practices, and predict the risks of infection and drug side effects is also resh...
COVID-19 vastly accelerated vaccine skepticism, such that even routine childhood immunizations, including shots that had largely eliminated measles, are now being questioned. Misinformation can be as contagious as disease, undermining faith in institutions, jeopardizing public health and safety, and distorting clinical decision making. Come watch a live demonstration that...
Nothing demonstrates that health is an industry ripe for growth and change more clearly than the enthusiastic participation of venture capitalists. Far more than in the past, they are committing resources to seed start-up operations, not only in artificial intelligence and data science, but also in the life sciences and health-related services and delivery systems. Recogni...