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  2. Decision support

Decision support

Clinical decision support (CDS) aims to provide important, timely information to physicians and patients. Research in this area draws on techniques from contemporary computational methods (e.g., sequential decision making); human-computer interaction; and behavioral and implementation science, helping optimize outcomes and healthcare delivery through informed decision-making.


current projects

  • blue-yellow kidneys
    Understanding chronic kidney disease
  • Blue digital data
    Making biomedical ML reproducible
  • digital mammography
    Assessing mammography AI
  • Stroke
    Understanding stroke
  • Blue lung
    CDS for Indeterminate Pulmonary Nodules
  • prostate cancer
    Improving prostate cancer diagnosis
  • Joint decision making
    Data-driven diagnostic decision support
  • Inhaler usage
    Advancing mHealth Informatics
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DEPARTMENTAL PROGRAMS

Integrated Diagnostics (IDx)
Computational Diagnostics (CDx)

DEPARTMENTS AND SCHOOLS

Department of Radiological Sciences
David Geffen School of Medicine
Bioengineering Department
Henry Samueli School of Engineering

AFFILIATED INSTITUTES AND CENTERS

UCLA CTSI
UCLA Institute for Precision Health
Center for SMART Health
Center for Domain-Specific Computing
Scalable Analytics Institute (ScAI)

TRAINING PROGRAMS

GPB: Medical Informatics Home Area
NIH T32: iDISCOVER
NIH T32: Medical Imaging Informatics
NSF NRT: Social Data Science
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COPYRIGHT © UCLA Medical Imaging Informatics. ALL RIGHTS RESERVED. | Site by Pendari