Training an AI Doctor 7wData

Some of the earliest applications of artificial intelligence in healthcare were in diagnosis--it was a major push in expert systems, for example, where you aim to build up a knowledge base that lets software be as good as a human clinician. Expert systems hit their peak in the late 1980s, but required a lot of knowledge to be encoded by people who had lots of other things to do. Hardware was also a problem for AI in the 1980s. The promise of AI in diagnostics is that you can help people in locations where there aren't enough doctors. Computers are not as creative as human pattern matchers, but that fact also means they can be more consistent than people.