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- Mycin - Wikipedia
MYCIN was an early backward chaining expert system that used artificial intelligence to identify bacteria causing severe infections, such as bacteremia and meningitis, and to recommend antibiotics, with the dosage adjusted for patient's body weight — the name derived from the antibiotics themselves, as many antibiotics have the suffix "-mycin
- MYCIN | Expert System, Medical Diagnosis Treatment | Britannica
MYCIN, an early expert system, or artificial intelligence (AI) program, for treating blood infections In 1972 work began on MYCIN at Stanford University in California MYCIN would attempt to diagnose patients based on reported symptoms and medical test results
- MYCIN: The Pioneering Expert System That Laid the Foundation for . . .
One of the first successful "expert systems" was MYCIN, developed in the 1970s at Stanford University Though never used in real-world medicine, MYCIN demonstrated the potential of AI in healthcare – paving the way for today‘s medical AI applications
- MYCIN: A Revolutionary AI System for Medical Diagnosis
Explore how MYCIN, an early expert system, transformed medical diagnosis by using AI to provide accurate treatment recommendations
- 12 AI Milestones: 4. MYCIN, An Expert System For Infectious . . . - Forbes
MYCIN was an AI program developed at Stanford University in the early 1970s, designed to assist physicians by recommending treatments for certain infectious diseases AI pioneer Allen Newell
- MYCIN - Expert System
MYCIN is the name of a decision support system developed by Stanford University in the early- to mid-seventies, built to assist physicians in the diagnosis of infectious diseases
- Rule-Based Expert Systems: MYCIN - Columbia DBMI
MYCIN is one of several well-known programs that embody some intelligence and provide data on the extent to which intelligent behavior can be programmed As with other AI programs, its development was slow and not always in a forward direction
- Mycin: A Famous Expert System for Infections Disease
MYCIN is one of the most famous Expert Systems that triggered the second AI booming in 1980s The new concepts such as ‘knowledge-based’, ‘knowledge-engineering’, ‘knowledge-acquisition’ were supported by what is called ‘rule-based system’ or ‘production system’, which is based on a collection of ‘IF ~ THEN ~’ forms
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