Open AccessJournal Article
Reasoning foundations of medical diagnosis.
R S Ledley,L B Lusted +1 more
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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive.Abstract:
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. American Association for the Advancement of Science is collaborating with JSTOR to digitize, preserve and extend access to Science.read more
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Artificial intelligence in radiology
Ahmed Hosny,Chintan Parmar,John Quackenbush,Lawrence H. Schwartz,Lawrence H. Schwartz,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +6 more
TL;DR: A general understanding of AI methods, particularly those pertaining to image-based tasks, is established and how these methods could impact multiple facets of radiology is explored, with a general focus on applications in oncology.
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The efficacy of diagnostic imaging.
TL;DR: The authors discuss the assessment of the contribution of diagnostic imaging to the patient management process and presents a hierarchical model of efficacy as an organizing structure for appraisal of the literature on efficacy of imaging.
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Probabilistic Horn abduction and Bayesian networks
TL;DR: It is shown how any probabilistic knowledge representable in a discrete Bayesian belief network can be represented in this framework, and it is argued that it is better to invent new hypotheses to explain dependence rather than having to worry about dependence in the language.
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A Survey on Ambient Intelligence in Healthcare
TL;DR: The state-of-the-art artificial intelligence (AI) methodologies used for developing AmI system in the healthcare domain are summarized, including various learning techniques (for learning from user interaction), reasoning techniques ( for reasoning about users' goals and intensions), and planning techniques (For planning activities and interactions).
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A review of evidence of health benefit from artificial neural networks in medical intervention
TL;DR: The purpose of this review is to assess the evidence of healthcare benefits involving the application of artificial neural networks to the clinical functions of diagnosis, prognosis and survival analysis, in the medical domains of oncology, critical care and cardiovascular medicine.
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Book
Theory of Games and Economic Behavior
TL;DR: Theory of games and economic behavior as mentioned in this paper is the classic work upon which modern-day game theory is based, and it has been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations.
Journal ArticleDOI
Association of irradiation with cancer of the thyroid in children and adolescents
TL;DR: The possibility that irradiation might be an etiological factor in carcinoma of the thyroid in children and adolescents was suggested and short courses of low voltage x-rays have been widely used in children for benign conditions about the head, neck, and upper thorax other than thymic enlargement.
Related Papers (5)
Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason.
Robert S. Ledley,Lee B. Lusted +1 more