A theoretical approach to artificial intelligence systems in medicine

dc.contributor.author	Σπυρόπουλος, Βασίλειος	el
dc.contributor.author	Παπαγούνος, Γιώργος	el
dc.date.accessioned	2015-06-13T11:44:17Z
dc.date.available	2015-06-13T11:44:17Z
dc.date.issued	2015-06-13
dc.identifier.uri	http://hdl.handle.net/11400/15879
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.elsevier.com/	en
dc.subject	Medical knowledge-based systems
dc.subject	decision support systems
dc.subject	Medical decision theory
dc.subject	Concept of health
dc.subject	Ιατρικά συστήματα που βασίζονται στη γνώση
dc.subject	Συστήματα υποστήριξης αποφάσεων
dc.subject	Ιατρική θεωρία αποφάσεων
dc.subject	Έννοια της υγείας
dc.title	A theoretical approach to artificial intelligence systems in medicine	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://zbw.eu/stw/descriptor/18252-4
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρική τεχνολογία
heal.keywordURI	http://lod.nal.usda.gov/31914
heal.identifier.secondary	doi:10.1016/0933-3657(95)00015-X
heal.language	en
heal.access	campus
heal.publicationDate	1995-10
heal.bibliographicCitation	SPYROPOULOS, V. & PAPAGOUNOS, G. (1995). A theoretical approach to artificial intelligence systems in medicine. Artificial Intelligence in Medicine. [online] 7 (5). p. 455-465. Available from: http://www.elsevier.com/[Accessed 07/04/2000]	en
heal.abstract	The various theoretical models of disease, the nosology which is accepted by the medical community and the prevalent logic of diagnosis determine both the medical approach as well as the development of the relevant technology including the structure and function of the A.I. systems involved. A.I. systems in medicine, in addition to the specific parameters which enable them to reach a diagnostic and/or therapeutic proposal, entail implicitly theoretical assumptions and socio-cultural attitudes which prejudice the orientation and the final outcome of the procedure. The various models -causal, probabilistic, case-based etc. -are critically examined and their ethical and methodological limitations are brought to light. The lack of a self-consistent theoretical framework in medicine, the multi-faceted character of the human organism as well as the non-explicit nature of the theoretical assumptions involved in A.I. systems restrict them to the role of decision supporting “instruments” rather than regarding them as decision making “devices”. This supporting role and, especially, the important function which A.I. systems should have in the structure, the methods and the content of medical education underscore the need of further research in the theoretical aspects and the actual development of such systems.	en
heal.publisher	Elsevier	en
heal.journalName	Artificial Intelligence in Medicine	en
heal.journalType	non peer-reviewed
heal.fullTextAvailability	true