Could a computer diagnose blood infections better than most doctors in 1978?
MYCIN outperformed Stanford medical faculty at diagnosing bacterial infections - and nobody let it near a patient.
The answer
MYCIN, developed at Stanford University by Edward Shortliffe between 1972 and 1976, was an expert system designed to identify bacteria causing severe infections and recommend antibiotics. It used approximately 600 rules derived from expert physicians and employed certainty factors to handle uncertain medical data. In a landmark 1979 evaluation, MYCIN prescribed acceptable therapy in about 69% of cases, outperforming the 42.5% to 62.5% rate of five Stanford faculty members. Despite its impressive performance, MYCIN was never deployed clinically due to ethical and legal concerns about allowing a computer to make medical treatment decisions, as well as the practical difficulty of entering patient data manually.
Source: Stanford University
- expert-systems
- medicine
- mycin
More from AI & Machine Learning
- What radical question did Alan Turing ask in 1950 that launched the entire field of artificial intelligence?
- Can a machine fool you into thinking it's human - and does that mean it's truly intelligent?
- What happened at a small Dartmouth workshop in 1956 that gave artificial intelligence its name?
- How did a 1958 invention called the Perceptron convince people that machines could learn like brains?
- Could a 1966 chatbot really make people believe they were talking to a therapist?
- What was the first robot that could 'reason' about its own actions?