Are human readers needed for prognostication from stress myocardial perfusion SPECT? Using outcomes research to validate medical technology.
Hachamovitch
Rory
R
Keck School of Medicine, University of Southern California Los Angeles, California, USA. hach@msn.com
Di Carli
Marcelo F
MF
D000465:Algorithms; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D019317:Evidence-Based Medicine / Q000379:methods*; D005080:Exercise Test; D006321:Heart / Q000000981:diagnostic imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015588:Observer Variation; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011379:Prognosis; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012986:Software Validation; D013673:Technology Assessment, Biomedical / Q000379:methods*; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods*