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An Opening Chapter of the First Generation of Artificial Intelligence in
Medicine: The First Rutgers AIM Workshop, June 1975
#MMPMID26123911
Kulikowski CA
Yearb Med Inform
2015[Aug]; 10
(1
): 227-33
PMID26123911
show ga
The first generation of Artificial Intelligence (AI) in Medicine methods were
developed in the early 1970's drawing on insights about problem solving in AI.
They developed new ways of representing structured expert knowledge about
clinical and biomedical problems using causal, taxonomic, associational, rule,
and frame-based models. By 1975, several prototype systems had been developed and
clinically tested, and the Rutgers Research Resource on Computers in Biomedicine
hosted the first in a series of workshops on AI in Medicine that helped
researchers and clinicians share their ideas, demonstrate their models, and
comment on the prospects for the field. These developments and the workshops
themselves benefited considerably from Stanford's SUMEX-AIM pioneering experiment
in biomedical computer networking. This paper focuses on discussions about issues
at the intersection of medicine and artificial intelligence that took place
during the presentations and panels at the First Rutgers AIM Workshop in New
Brunswick, New Jersey from June 14 to 17, 1975.
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