Artificial intelligence and machine-learning will be the biggest disrupters in the health care industry, forcing a major shift in how companies innovate and operate, offering physicians unprecedented tools to diagnose and treat patients to improve outcomes and connecting patients like never before through consumer-driven devices. This feature takes a close look at how smaller companies and giants like Abbott, as well as national health care systems, are leveraging the power of AI to expedite innovation and product development in diabetes and other diseases. It highlights some of the latest studies that show how AI is being harnessed to improve imaging analytics, predict hard-to-find risk factors for heart disease and detect cancer, and discusses the critical role tech giants such as IBM, Google and Amazon continue to play in this space.
Artificial intelligence, the next wave of innovation in health care and personalized medicine
While technology companies have long tapped into the potential of machine-learning and artificial intelligence to develop smarter, better and cheaper gadgets, a growing wave of health care companies are now starting to take advantage of big data to try to create better outcomes and drive change.
One of the key areas in medicine where data analytics is expected to make a significant contribution is in diabetes. Diabetes is a global epidemic and the most expensive disease...
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