title: [New possibilities for automated diagnosis of dementia].
abstract: Dementia is underdiagnosed and undertreated in Germany. Automatic diagnosing of dementia based on standard magnetic resonance imaging has the capacity to reduce diagnostic uncertainties. The algorithm learns a disease specific pattern of atrophy from training samples. It is independent from radiological expertise which may be scarce outside specialised centres and can be installed on MRT-machines or desktop PCs. It can also play its part in planning and conducting treatment trials by recruiting a sample with predicted fast future decline. Extension, based e.g. on resting state functional imaging are possible but are further away from clinical routine.
authors.affiliation: Neurozentrum, Freiburg Brain Imaging, Zentrum für Geriatrie und Gerontologie, Abteilung für Psychiatrie und Psychotherapie, Universitätsklinikum Freiburg, Hauptstraße 5, 79104, Freiburg. stefan.kloeppel@uniklinik-freiburg.de
authors.forename: S
authors.initials: S
authors.lastname: Klöppel
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000473:pathology*; D003704:Dementia / Q000175:diagnosis*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000639:trends*; D010363:Pattern Recognition, Automated / Q000639:trends*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity