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Artificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, Verona, Italy, July 18-22, 2009, Proceedings (Paperback, 2009 ed.)
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Artificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, Verona, Italy, July 18-22, 2009, Proceedings (Paperback, 2009 ed.)
Series: Lecture Notes in Artificial Intelligence, 5651
Expected to ship within 10 - 15 working days
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The European Society for Arti?cial Intelligence in Medicine (AIME)
was - tablished in 1986 following a very successful workshop held
in Pavia, Italy, the year before. The principal aims of AIME are to
foster fundamental and applied research in the application of
arti?cial intelligence (AI) techniques to medical care and medical
research, and to provide a forum at biennial conferences for
discussing any progress made. For this reason the main activity of
the society wastheorganizationofaseriesofbiennialconferences,
heldinMarseilles, France (1987), London, UK (1989), Maastricht, The
Netherlands (1991), Munich, G- many (1993), Pavia, Italy (1995),
Grenoble, France (1997), Aalborg, Denmark (1999), Cascais,
Portugal(2001), Protaras, Cyprus(2003), Aberdeen, UK(2005), and
Amsterdam, The Netherlands (2007). This volume contains the
proceedings of AIME 2009, the 12th Conference on Articial
Intelligence in Medicine, held in Verona, Italy, July 18-22, 2009.
The AIME 2009 goalswereto present and consolidate the
internationalstate of the art of AI in biomedical research from the
perspectives of theory, meth- ology, and application. The
conference included two invited lectures, full and short papers,
tutorials, workshops, and a doctoral consortium. In the conference
announcement, authors were solicited to submit
originalcontributions regarding the developmentoftheory,
techniques, andapplications ofAI in biomedicine, - cluding the
exploitation of AI approaches to molecular medicine and biomedical
informaticsandto healthcareorganizationalaspects.
Authorsofpapersaddre- ing theory were requested to describe the
properties of novel AI methodologies potentially useful for solving
biomedical
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