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ForwardUT Southwestern Radiology Research Day (RP1705G)
A total of 47 presentations (10 oral and 37 posters) given by mentored trainees in the Department of Radiology. These presentations will cover a variety of basic science topics, a number of prospective, retrospective, and translational studies carried out in the Department of Radiology. These presentations will provide concrete examples of experimental design, statistical analysis and hypothesis-driven research. The trainee talks will be followed by a keynote lecture, ‘Artificial Intelligence: Hype, Reality and Future Implications for Diagnostic Imaging (Eliot Siegel, M.D., Professor and Vice Chair of Research Information Systems, University of Maryland School of Medicine).’
Target Audience
This course is designed for Faculty, Fellows, Residents, and Support Staff.
Learning Objectives
At the conclusion of this activity, the participant should be able to
• Apply strategies for designing prospective research studies
• Describe statistical strategies for assessing outcomes
• Discuss the advantages of machine learning in comparison to other more traditional statistical techniques
• Explain the current state of the art in artificial intelligence applications in diagnostic imaging
• Estimate the likelihood of radiologists being replaced by computer AI within the next 10 years.
Course Directors: Robert E. Lenkinski, Ph.D. and M. Craig Morriss, M.D.
Accreditation Statement
The University of Texas Southwestern Medical Center is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Available Credit
- 2.75 AMA
- 2.75 Attendance