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What doctor? Why AI and robotics will define New Health

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Modern health systems can treat and cure more diseases than ever before. New technology is bringing innovation to old treatments. Yet significant quality, access and cost issues remain and our health systems are becoming increasingly unsustainable. The emergence and increasing use of artificial intelligence (AI) and robotics will have a significant impact on healthcare systems around the world. How will AI and robotics define New Health?


Future of Artificial Intelligence in Health Care

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From patient self-service to chat bots, computer-aided detection (CAD) systems for diagnosis, and image data analysis to identify candidate molecules in drug discovery, AI is already at work increasing convenience and efficiency, reducing costs and errors, and generally making it easier for more patients to receive the health care they need. While each AI technology can contribute significant value alone, the larger potential lies in the synergies generated by using them together across the entire patient journey, from diagnoses, to treatment, to ongoing health maintenance.


The future of artificial intelligence in health care

#artificialintelligence

From patient self-service to chat bots, computer-aided detection (CAD) systems for diagnosis, and image data analysis to identify candidate molecules in drug discovery, AI is already at work increasing convenience and efficiency, reducing costs and errors, and generally making it easier for more patients to receive the health care they need. While each AI technology can contribute significant value alone, the larger potential lies in the synergies generated by using them together across the entire patient journey, from diagnoses, to treatment, to ongoing health maintenance. Download the full report to explore how current and future applications of these technologies might impact the health care industry.


Health intelligence: how artificial intelligence transforms population and personalized health

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Public health authorities and researchers collect data from many sources and analyze these data together to estimate the incidence and prevalence of different health conditions, as well as related risk factors. To present a coherent portrait1 of population health, AI methods extract health and non-health data at different levels of granularity, harmonize and integrate information about populations and communities with evidence about the epidemiology and control of chronic diseases. It is widely recognized that many of the elements that shape the health and well-being of individuals and communities have their roots outside the conventional healthcare system. Recent methodological developments in AI enable multi-level modeling to combine individual-level data with sociomarkers, the measurable indicators of social conditions, at the group-level to improve disease surveillance, disease prediction, and implementation and evaluation of population health interventions. Shin et al.2 shows how the social determinants of health can be used to predict and identify pediatric asthma patients at risk of hospital revisits.


AI in Personal Health & Fitness: 10 Companies to Watch in 2018 - DisruptorDaily

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Located in London, FitWell has received $1.3 million after four rounds of funding. The company is an AI wellness start-up that focuses on providing holistic coaching, healthy nutrition, fitness, and wellness. Their mobile app has more than one million members globally and was featured by Google and Apple as the "Best of 2015." The app allows users to customize goals, whether they want to be stronger, more flexible, or get toned. The personal coaching adjusts workouts depending on previous performances for a more customized plan.