title: Computer-aided diagnosis of acute abdominal pain.
abstract: This paper reports a controlled prospective unselected real-time comparison of human and computer-aided diagnosis in a series of 304 patients suffering from abdominal pain of acute onset.The computing system's overall diagnostic accuracy (91.8%) was significantly higher than that of the most senior member of the clinical team to see each case (79.6%). It is suggested as a result of these studies that the provision of such a system to aid the clinician is both feasible in a real-time clinical setting, and likely to be of practical value, albeit in a small percentage of cases.
mesh_terms: D000006:Abdomen, Acute / Q000175:diagnosis* / Q000209:etiology / Q000601:surgery; D001064:Appendicitis / Q000175:diagnosis; D002764:Cholecystitis / Q000175:diagnosis; D003201:Computers; D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D004238:Diverticulitis / Q000175:diagnosis; D006801:Humans; D007415:Intestinal Obstruction / Q000175:diagnosis; D007421:Intestine, Small; D008722:Methods; D010195:Pancreatitis / Q000175:diagnosis; D010439:Peptic Ulcer Perforation / Q000175:diagnosis