Watson: Beyond Jeopardy

This paper presents a vision for applying the Watson technology to health care and describes the steps needed to adapt and improve performance in a new domain. Specifically, it elaborates upon a vision for an evidence-based clinical decision support system, based on the DeepQA technology, that affor...

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Bibliographic Details
Published inArtificial intelligence Vol. 199-200; pp. 93 - 105
Main Authors Ferrucci, David, Levas, Anthony, Bagchi, Sugato, Gondek, David, Mueller, Erik T.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier B.V 01.06.2013
Elsevier
Subjects
Applied sciences
Artificial intelligence
Biological and medical sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Computerized, statistical medical data processing and models in biomedicine
Exact sciences and technology
Information systems. Data bases
Medical management aid. Diagnosis aid
Medical sciences
Memory organisation. Data processing
Pattern recognition. Digital image processing. Computational geometry
Software
Factual data
Computer vision
Decision support system
Decision making
Man machine dialogue
Incomplete information
Artificial intelligence
Medical application
Public health
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Summary:This paper presents a vision for applying the Watson technology to health care and describes the steps needed to adapt and improve performance in a new domain. Specifically, it elaborates upon a vision for an evidence-based clinical decision support system, based on the DeepQA technology, that affords exploration of a broad range of hypotheses and their associated evidence, as well as uncovers missing information that can be used in mixed-initiative dialog. It describes the research challenges, the adaptation approach, and finally reports results on the first steps we have taken toward this goal.
ISSN:0004-3702
1872-7921
DOI:10.1016/j.artint.2012.06.009