Artificial Intelligence in Medical Practice: The Question to the Answer?

American Journal of Medicine

Volumn 131, Issue 2, 2018, Pages 129-133

  Miller, D Douglas ^a   Brown, Eric W ^b  

^a NEW YORK MEDICAL COLLEGE   (United States)

^b IBM WATSON HEALTH   (United States)

Author keywords

Analytics; Artificial intelligence; Big data; Chronic disease; Deep learning; Electronic medical record; Machine learning; Medical imaging; Natural language processing; Neural networks; Precision medicine

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BASAL CELL CARCINOMA; BIOSTATISTICS; BURNOUT; CANCER DIAGNOSIS; DEPRESSION; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; ELECTRONIC MEDICAL RECORD; FEASIBILITY STUDY; GENE EXPRESSION; GENE MUTATION; HEART FAILURE WITH PRESERVED EJECTION FRACTION; HEART SURGERY; HUMAN; MATHEMATICAL MODEL; NATURAL LANGUAGE PROCESSING; PATIENT CARE; POPULATION RESEARCH; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RETINOPATHY; REVIEW; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SKIN CANCER; CHRONIC DISEASE; CLINICAL TRIAL (TOPIC); COMPUTER ASSISTED DIAGNOSIS; ELECTRONIC HEALTH RECORD; IMAGE PROCESSING; MACHINE LEARNING; MEDICAL ERROR; PATIENT SELECTION; PERSONALIZED MEDICINE; PREVENTION AND CONTROL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOSTATISTICS; CHRONIC DISEASE; CLINICAL TRIALS AS TOPIC; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRONIC HEALTH RECORDS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MEDICAL ERRORS; NATURAL LANGUAGE PROCESSING; PATIENT SELECTION; PRECISION MEDICINE;

EID: 85037739894     PISSN: 00029343     EISSN: 15557162     Source Type: Journal    
DOI: 10.1016/j.amjmed.2017.10.035     Document Type: Review

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