Artificial Intelligence in Medicine

Artificial Intelligence in Medicine

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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), and Aberdeen, UK (2005). This volume contains the proceedings of AIME 2007, the 11th Conference on Arti?cial Intelligence in Medicine, held in Amsterdam, The Netherlands, July 7-11, 2007. The AIME 2007 goals were to present and consolidate the int- national state of the art of AI in biomedical research from the perspectives of methodology and application. The conference included invited lectures, a panel discussion, full and short papers, tutorials, workshops, and a doctoral cons- tium. In the conference announcement, authors were solicited to submit original contributions on the development of theory, systems, and applications of AI in medicine, including the exploitationof AI approachesto molecularmedicine and biomedical informatics. Authors of papers addressing theory were requested to describe the developmentorthe extensionof AI methods and to discuss the n- elty to the state of the aIn section 3, such description is provided, together with a complete global overview of the integration of the IET in E-Prime. ... One single segmentation takes few seconds (2-3 s) also in the intepreted implementation. IET has been developed in Matlab (version 7.0), and a C-code executable file has been generated for the IET porting ... The user chooses the best output of the region- growing algorithm between two options (each of them corresponding to a different distance measure) Figanbsp;...

Title:Artificial Intelligence in Medicine
Author:Riccardo Bellazzi, Ameen Abu-Hanna, Jim Hunter
Publisher:Springer Science & Business Media - 2007-06-29


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