Artificial intelligence and machine learning are quickly becoming an integral part of healthcare delivery. Both on the clinical care and operational side of healthcare organizations, AI has is powering technology that keeps patients safe and improves efficiency for the revenue cycle, supply chain and more. Here are 100-plus companies in the healthcare space using artificial intelligence. To add a company to this list, contact Laura Dyrda at firstname.lastname@example.org. AiCure is an AI and advanced data analytics company that uses video, audio and behavioral data to better understand the connection between patients, disease and treatment. It allows physicians to have access to clinical and patient insights.
Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost. One of the world's highest-growth industries, the AI sector was valued at about $600 million in 2014 and is projected to reach a $150 billion by 2026. Whether it's used to find new links between genetic codes or to drive surgery-assisting robots, artificial intelligence is reinventing -- and reinvigorating -- modern healthcare through machines that can predict, comprehend, learn and act. Check out these 32 examples of AI in healthcare. In 2015, misdiagnosing illness and medical error accounted for 10% of all US deaths. In light of that, the promise of improving the diagnostic process is one of AI's most exciting healthcare applications.
Netflix, Siri, and websites that recommend items based on other people's purchase behavior. What do these have in common? These are real-world examples of machine learning being used. Machine learning is the process of teaching machines to recognize patterns by providing them data and an algorithm to work with the data. And it has helped a lot in the field of healthcare in a number of different ways.
Risk prediction platform predicts population health costs and prescribes patient care optimization. According to a Frost & Sullivan report, strong opportunities exist for Big Data in healthcare via population health management, clinical decision support, and the use of real-world data. In fact, solutions that directly impact care delivery and outcomes will be the focus over the next five years. Julie Skeen, Healthcare IT Strategist at Infogix, told Health IT Outcomes, "Big Data may not by itself be able to cure cancer or AIDS, but by applying analytics to human DNA and the DNA of major diseases is already producing positive results for patients. By looking at Big Data, medical researchers can help patients get the best treatment for the type of disease they have, minimize the negative impact of those treatments and in the end save lives."