title: Expert systems and the pancreatic cancer problem: decision support in the pre-operative diagnosis.
abstract: In this paper, after reviewing the main issue in artificial intelligence, decision support systems, medical decision-making, expert systems and some of their applications in medicine, we focus on the diagnostic aspect of pancreatic cancer. We briefly examine the most significant applications both from the oncological and from the diagnostic point of view. We discuss the medical problems mentioning incidence and mortality, aetiological factors and diagnosis, considering the roles of surgery and adjuvant therapies. Finally we justify the decision to develop an expert system in such a medical domain and discuss the SPES (Surgical Pancreatic Expert System) project, its parts dealing with the different medical phases of pancreatic cancer diagnosis and therapy: pre-operative, intra-operative and adjuvant therapies. In particular we discuss diagnostic aspects of pancreatic cancer disease, pointing out the aims of the project, methodologies, tools used and future developments.
authors.affiliation: Istituto IV Clinica Chirurgica, Università di Roma La Sapienza, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Maceratini
authors.forename: M
authors.initials: M
authors.lastname: Rafanelli
authors.forename: D M
authors.initials: DM
authors.lastname: Pisanelli
authors.forename: S
authors.initials: S
authors.lastname: Crollari
mesh_terms: D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D008954:Models, Biological; D010190:Pancreatic Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000401:mortality / Q000628:therapy; D012984:Software; D012985:Software Design