{"id":932016,"date":"2023-03-30T11:43:24","date_gmt":"2023-03-30T18:43:24","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=932016"},"modified":"2023-03-30T11:43:26","modified_gmt":"2023-03-30T18:43:26","slug":"ai-and-the-future-of-health","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/ai-and-the-future-of-health\/","title":{"rendered":"AI and the Future of Health"},"content":{"rendered":"\n
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The emergence of increasingly capable large-scale AI models, such as the recently released GPT-4, is one of the most significant advances in computing in decades. These innovations are rapidly transforming every aspect of the value we get from technology, as demonstrated through Microsoft\u2019s integration of GPT-4 into Bing, Edge, Microsoft 365, Power Platform, GitHub, and other offerings. More recently, Nuance has announced DAX Express, which uses a unique combination of conversational, ambient, and generative AI to automatically draft clinical notes after patient visits \u2013 helping to reduce care providers\u2019 cognitive burdens and increase the joy of practicing medicine (whilst releasing time for care).<\/p>\n\n\n\n

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We are at an inflection point for the use of AI in healthcare \u2013 one of society\u2019s most critical sectors. The significance of this moment is reflected in Peter Lee\u2019s recent article (opens in new tab)<\/span><\/a> in the New England Journal of Medicine on the potential future clinical applications of GPT-4. At Microsoft Research\u2019s Health Futures<\/a> organization, the multidisciplinary group dedicated to discovery in this space, we see this as the continuation of a journey, and a major milestone in the long process of innovating to help address the greatest challenges in healthcare.<\/p>\n\n\n\n

In this blog, we will share some of our research team\u2019s work to make healthcare more data-driven, predictive, and precise \u2013 ultimately, empowering every person on the planet to live a healthier future.<\/p>\n\n\n\n

Enabling precision medicine and connected care<\/h2>\n\n\n\n

We are today at a unique moment in history where medicine, biology, and technology are converging on a large scale. This presents immense possibilities to revolutionize healthcare and the practice of medicine with the aid of trustworthy AI. While we embrace the potential of AI, we understand that the practice of medicine is an intricate balance of “art” and “science.” We recognize and honor the enduring physician-patient relationship, which is fundamental and timeless. Our diverse team comprises researchers, scientists, engineers, biotechnologists, designers, social scientists, strategists, healthcare experts, and medical professionals who collaborate globally and inclusively to reimagine and transform the lives of the patients and public we serve.<\/p>\n\n\n\n

As we consider how technologies have shaped the practice of medicine over the centuries, from the individual to the ecosystem level, we are reminded that no technology exists in a vacuum. Our core understanding of biological systems is rapidly evolving, and with it, our understanding of what technologies are relevant and useful. Simultaneously, the use of technology across the health and life science industries, and the way healthcare is delivered, are also rapidly changing \u2013 reshaping our traditional healthcare delivery model from one of diagnosis and treatment, to one that prioritizes prevention and precise individualized care.<\/p>\n\n\n\n

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Microsoft research copilot experience<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t

Discover more about research at Microsoft through our AI-powered experience<\/p>\n\t\t\t\t\n\t\t\t\t\t\t\t\t

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Recent advancements in machine learning and AI have fueled computational technologies that allow us to aggregate complex inputs from multiple data sources, with the potential to derive rich insights that rapidly expand our knowledge base and drive deeper discovery and faster innovation. At the same time, it remains an open question how to best use and regulate these technologies in real-world settings and at scale across healthcare and the life sciences. Nonetheless, we believe that we are on a path to delivering on the goal of precision medicine \u2013 a change in clinical practice which will be enabled by precision diagnostics, precision therapeutics, and connected care technologies.<\/p>\n\n\n\n

To achieve this goal, we seek to collaborate with health and life sciences organizations with a similar appetite for transformation, complementary expertise, and a commitment to propel the change required. We are also engaged with the broader community in pursuing responsible and ethical use of AI in healthcare<\/a>. Our diverse team has been successful in bridging the gap between the fields of medicine, biology and chemistry on one hand, and computing on the other. We act as “translators” between these fields, and through a process of ongoing collaboration and feedback, we have discovered new challenges and innovative solutions.<\/p>\n\n\n\n

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