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AI in health care: Capacity, capability, and a future of active health in Asia – MIT Technology Review Insights

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Software and platforms powered by AI are expected to transform Asia's health-care landscape in the decade ahead, allowing health-care providers and government health-care authorities to increase capacity of service delivery, speed of diagnoses, quality of care, and overall patient health outcomes. The use of AI cannot be described as entirely nascent; indeed, it is already being widely used--particularly in developed Asia. Yet new use cases, new innovations, and new centers of AI adoption are emerging constantly, and the continuing urgency by governments and tech players to diffuse AI across health-care ecosystems will bring untold benefits to patients' lives across the region. AI is efficiently narrowing Asia's health-care gap. AI is an important and pragmatic solution for increasing the capacity and efficiency of health-care provision across the region.


AI in health care: Capacity, capability, and a future of active health in Asia

#artificialintelligence

Asia's highest health burdens are fertile ground for public-private sector collaboration. In several Asian countries there are examples of different stakeholders collaborating to tackle a pernicious medical challenge while leveraging local skills and talent, or data resources. Aging is rapidly becoming one of Asia's leading health-care crises; Japan is currently in the lead for its share of the population aged over 65 (nearly a third), but several of the region's other economies are close behind and carefully watching the emerging innovations in elder care. Other health-care burdens where AI is playing a leading role are infant mortality in India and hyperglycemia, hyperlipidemia, and hypertension in Singapore. Over the coming decades, policymakers and AI developers will increasingly collaborate to improve public health.