Session Chair: Charles E. Kahn, Jr., MD, MS
Medical College of Wisconsin
Session Description:
We will introduce decision support technologies for diagnostic radiology,
and present examples of several cutting-edge systems. We will highlight
systems for point-of-care decision support and for computer-aided detection
and diagnosis.
Participants:
Creation of Decision Support Tools for
Medical Imaging: Issues and AnswersDavid E. Avrin, MD, PhD University of California, San Francisco
Learning
Objectives:
1. Understand the components required to create decision support
tools.
2. Understand the difference between vetting and filtered search.
3. Design a GUI for use of decision support tools (DST)
at the diagnostic workstation.
Computer-aided Detection and Diagnosis: What
We Have Learned so Far
Yulei Jiang, PhD
University of Chicago
Learning Objectives:
1. Explain clinical potentials and tradeoffs of CAD
2. Critically analyze data that support and question CAD
3. Identify the reasons why the true clinical effect of CAD is difficult to see
Finding Meaning in Images: Semantically Guided Knowledge Retrieval
Charles E. Kahn, Jr., MD, MS
Medical College of Wisconsin
Learning Objectives:
1. Understand the basic principles of image retrieval based on text,
concepts, and image content.
2. Define how medical knowledge improves the search for relevant images.
3. Describe how image retrieval can support learning and clinical decision
making.
