Medical knowledge is on the verge of an artificial intelligence revolution. In a recent article in the New England Journal of Medicine, Isaac Kohne, head of the Department of Biomedical Informatics at Harvard Medical School, and his colleagues stated that artificial intelligence can serve virtually any type of medical knowledge. Artificial intelligence, with its proper design, also has the ability to make the health care system more efficient. This technology is effective in reducing the paperwork burden experienced by medical complexes and physicians by spending less on processes. By easing the workload of physicians and health care providers, artificial intelligence prepares specialists to take responsibility for new occupations and departments, and as a result, fills the gaps in access to quality services in the world's poorest locations. In many other cases, the technology, as a quality watchdog, prevents a large number of medical errors that kill about 200,000 people a year and, in addition, cost $ 1.9 billion a year.Most recently, in December 2018, researchers at Massachusetts General Hospital (MGH) and the SEAS Harvard Center reported a system that can accurately detect intracranial hemorrhage that leads to stroke. In May 2019, researchers at Google and several academic medical centers reported that an AI designed to diagnose lung cancer with 94% accuracy could detect cancer better than six human radiologists.
RAD SMART SMILE
https://www.linkedin.com/feed/update/urn:li:activity:6864930998598078464