{"id":41853,"date":"2018-03-21T00:00:00","date_gmt":"2018-03-21T00:00:00","guid":{"rendered":"https:\/\/www.techopedia.com\/experts\/why-are-deep-learning-machine-learning-and-ai-so-important-in-telemedicine-and-other-types-of-medical-services\/"},"modified":"2022-01-14T19:37:11","modified_gmt":"2022-01-14T19:37:11","slug":"why-are-deep-learning-machine-learning-and-ai-so-important-in-telemedicine-and-other-types-of-medical-services","status":"publish","type":"q-a","link":"https:\/\/www.techopedia.com\/why-are-deep-learning-machine-learning-and-ai-so-important-in-telemedicine-and-other-types-of-medical-services\/7\/33222","title":{"rendered":"Why are deep learning, machine learning and AI so important in telemedicine and other types of medical services?"},"content":{"rendered":"
The fields of machine learning<\/a> and artificial intelligence<\/a> have many exciting applications to the medical field in general, and telehealth<\/a> in particular.<\/p>\n One of the biggest and most primary of these synergies is in document review. IBM is revealing how its Watson Health program<\/a> is able to analyze millions of pages of medical information within seconds, and draw conclusions that can be used for diagnosis, comparison and more. The enormous power of machines to handle large volumes of data is combined with analytical and decision-making prowess in machine learning and artificial intelligence technologies.<\/p>\n <\/p>\n