2020 Joint AAPM | COMP Virtual Meeting
Back to session list

Session Title: AI in Clinical Medical Physics
Question 1: An analysis of clinical-trial data from January 2000 up to April 2019 estimated the percentage of successful drug-development programmes to be around,
Reference:Wong, C. H., Siah, K. W. & Lo, A. W. Biostatistics 20, 273–286 (2019).
Choice A:>50%
Choice B:30-50%
Choice C:10-30%
Choice D:<10%
Question 2: Artificial intelligence is implemented in NCI’s clinical trial process to improve what aspects of imaging and radiotherapy data?
Reference:Xiao Y, Rosen M. The role of Imaging and Radiation Oncology Core for precision medicine era of clinical trial. Transl Lung Cancer Res. 2017;6(6):621‐624. doi:10.21037/tlcr.2017.09.06
Choice A:Accuracy
Choice B:Acquisition efficiency
Choice C:Consistency
Choice D:All of the above
Question 3: Which of the following is NOT a common indication for use of commercially available AI-based software offered to radiology departments?
Reference:ACR Data Science Institute, "FDA Cleared AI Algorithms," https://www.acrdsi.org/DSI-Services/FDA-Cleared-AI-Algorithms (June 1, 2020)
Choice A:Worklist prioritization and triage
Choice B:Image processing and enhancement
Choice C:Replacement of radiologists
Choice D:Computer Aided Detection (CAD)
Choice E:Image analysis and quantification
Question 4: According to the ACR, how many imaging-related AI products have been designated “FDA cleared” to date?
Reference:ACR Data Science Institute, "FDA Cleared AI Algorithms," https://www.acrdsi.org/DSI-Services/FDA-Cleared-AI-Algorithms (June 1, 2020)
Choice A:1
Choice B:6
Choice C:10
Choice D:>60
Question 5: What is one of the main limitations to using AI as a tool for analyzing daily CT QC phantom data for artifacts?
Reference:Krawczyk B. Progress in Artificial Intelligence 2016 5:221–232
Choice A:Imbalanced data sets
Choice B:Overall dataset sample size is too small
Choice C:Too many artifacts to classify
Choice D:Replication and augmentation don’t work in phantoms
Question 6: Lack, or inconsistent usage of, annotation of diagnostic images is a problem for application of AI.
Reference:Thomas R. Mackie Edward F. Jackson Maryellen Giger Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop First published: 24 September 2018 https://doi.org/10.1002/mp.13135 Citations: 1
Choice A:True
Choice B:False
Back to session list