title: International experience on the use of artificial neural networks in gastroenterology.
abstract: In this paper, we reconsider the scientific background for the use of artificial intelligence tools in medicine. A review of some recent significant papers shows that artificial neural networks, the more advanced and effective artificial intelligence technique, can improve the classification accuracy and survival prediction of a number of gastrointestinal diseases. We discuss the 'added value' the use of artificial neural networks-based tools can bring in the field of gastroenterology, both at research and clinical application level, when compared with traditional statistical or clinical-pathological methods.
authors.affiliation: Bracco Spa Medical Department, Via E Folli 50, 20136 Milan, Italy. enzo.grossi@bracco.com
authors.forename: E
authors.initials: E
authors.lastname: Grossi
authors.forename: A
authors.initials: A
authors.lastname: Mancini
authors.forename: M
authors.initials: M
authors.lastname: Buscema
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D005762:Gastroenterology; D005767:Gastrointestinal Diseases / Q000145:classification / Q000175:diagnosis / Q000401:mortality; D006801:Humans; D016571:Neural Networks, Computer; D011379:Prognosis