title: Artificial neural networks and image interpretation: a ghost in the machine.
abstract: The artificial neural network (ANN) is a non-algorithmic parallel processing device modeled after human cerebral architecture. ANNs can be readily simulated on a digital computer and have the potential for significant diagnostic application in both image- and non-imagebased medical diagnosis. This paper briefly discusses the operation of ANNs, differences between these and more traditional problem solving methods, and some diagnostic imaging problems amenable to their application.
authors.affiliation: Division of Nuclear Medicine, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
authors.forename: James A
authors.initials: JA
authors.lastname: Scott
mesh_terms: D006801:Humans; D016571:Neural Networks, Computer; D011655:Pulmonary Embolism / Q000000981:diagnostic imaging; D011857:Radiographic Image Interpretation, Computer-Assisted; D011871:Radiology / Q000379:methods*