Vision 20/20: Automation and advanced computing in clinical radiation oncology

Medical Physics

Volumn 41, Issue 1, 2014, Pages

  Moore, Kevin L ^a   Kagadis, George C ^b   McNutt, Todd R ^c   Moiseenko, Vitali ^a   Mutic, Sasa ^d  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b UNIVERSITY OF PATRAS   (Greece)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d WASHINGTON UNIVERSITY   (United States)

Author keywords

aggregate data analysis; automation; clinical radiation oncology; cloud computing; data security; machine learning; parallel computation; quality improvement

Indexed keywords

AGGREGATES; AUTOMATION; CLOUD COMPUTING; DATA SHARING; LEARNING SYSTEMS; RADIOTHERAPY; SECURITY OF DATA;

ADAPTIVE RADIOTHERAPY; AGGREGATE DATUM; CLINICAL EFFICIENCY; CLINICAL INFORMATICS; COMPUTATIONAL PLATFORMS; PARALLEL COMPUTATION; QUALITY IMPROVEMENT; RADIATION ONCOLOGY;

ONCOLOGY;

AGGREGATE DATA ANALYSIS; ARTICLE; AUTOMATION; BIOINFORMATICS; CANCER RADIOTHERAPY; CLINICAL EFFECTIVENESS; CLOUD COMPUTING; COMPUTER ANALYSIS; DATA ANALYSIS; HEALTH CARE AVAILABILITY; HUMAN; ONCOLOGY; PARALLEL COMPUTATION; PATIENT SAFETY; QUALITY CONTROL; RADIATION PROTECTION; TOTAL QUALITY MANAGEMENT; VISION; COMPUTER; INTERNET; METHODOLOGY; SAFETY; STATISTICS;

AUTOMATION; COMPUTERS; HUMANS; INTERNET; RADIATION ONCOLOGY; SAFETY; STATISTICS AS TOPIC;

EID: 84892172445     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4842515     Document Type: Article

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