Automated detection of diabetic retinopathy: Barriers to translation into clinical practice

Expert Review of Medical Devices

Volumn 7, Issue 2, 2010, Pages 287-296

  Abramoff, Michael D ^a   Niemeijer, Meindert ^b,c   Russell, Stephen R ^a  

^a UNIVERSITY OF IOWA HEALTH CARE   (United States)

^b UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

^c UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Automated diagnosis; Blindness; Complication; Diabetes; Early detection; Expert system; Eye; Image analysis; Prevention; Retina; Retinopathy; Screening

Indexed keywords

AUTOANALYSIS; BLINDNESS; CAMERA; CLINICAL ASSESSMENT; CLINICAL PRACTICE; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COST EFFECTIVENESS ANALYSIS; DIABETES MELLITUS; DIABETIC RETINOPATHY; DIAGNOSTIC ACCURACY; EARLY DIAGNOSIS; EYE EXAMINATION; HEALTH CARE QUALITY; HIGH RISK PATIENT; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; ONLINE SYSTEM; OPTICAL RESOLUTION; PATIENT SAFETY; PERFORMANCE MEASUREMENT SYSTEM; PREVALENCE; PREVENTIVE MEDICINE; RACE DIFFERENCE; RECEIVER OPERATING CHARACTERISTIC; RETINA FOVEA; RETINA IMAGE; RETINA NEOVASCULARIZATION; RETINOPATHY; REVIEW; RISK ASSESSMENT; SCREENING TEST; SENSITIVITY AND SPECIFICITY; SEX DIFFERENCE; TRANSLATIONAL RESEARCH; VISUAL IMPAIRMENT;

ADOLESCENT; ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIABETIC RETINOPATHY; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 77949393746     PISSN: 17434440     EISSN: 17452422     Source Type: Journal    
DOI: 10.1586/erd.09.76     Document Type: Review

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