originating from the Dartmouth Conference in 1956, initially focused on rule-based systems like the Logic Theorist and General Problem Solver in the 1950s-60s, but faced challenges in real-world complexity. The 1970s saw the rise of expert systems, such as MYCIN, which, despite their popularity...
Explainable AI systems help doctors with patient diagnoses, providing insight into where and how the system arrives at a diagnosis. For example, AI is used to identify patient fractures in X-ray images. But even after an initial investment in an AI tool, doctors and nurses might still not fu...
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MYCIN:This was one of the earliest expert systems that were based on backward chaining. It has the ability to identify various bacteria that cause severe infections. It is also capable of recommending drugs based on a person’s weight.
CaDet(Cancer Decision Support Tool) is used to identify cancer in its earliest stages. DENDRALhelps chemists identify unknown organic molecules. DXplainis a clinical support system that diagnoses various diseases. MYCINidentifies bacteria such as bacteremia and meningitis, and recommends antibiotics and ...
WhatisAI?“AIisthedesign,studyandconstruction ofcomputerprogramsthatbehaveintelligently.”TomDean 7/30/2021 ©2001-2004JamesD.SkrentnyfromnotesbyC.Dyer,et.al.2 WhatisAI?Whatisartificialintelligence(AI)?isafieldconcernedintelligentbehaviorin- machineshumansanimals otherattemptsatnamingthisfieldincluded machine...
Current transients of sigmoidal shape for monazomycin [30] and potassium channels [37] were subsequently predicted by us on the basis a model accounting for monomer aggregation by a mechanism of nucleation and growth. Since this model also accounts for several properties of experimental current-...
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As a second example, medical diagnosis viewed in terms of rules (e.g., MYCIN) looks substantially different from the same task viewed in terms of frames (e.g., INTERNIST). Where MYCIN sees the medical world as made up of empirical associations connecting symptom to disease, INTERNIST sees ...