Machine learning and artificial intelligence already are and will continue to be beneficial in health care. However, serious pitfalls dot the health care landscape — while failed experiments like Twitter chatbots may be amusing, mistakes in a medical context can have serious consequences. This talk will demystify the basic concepts of machine learning and several of the freely available tools that are making this technology more and more accessible, as well as explore the pros and cons of machine learning’s expansion across the health care industry.
