Question 1: In the United States, between 2018 and 2019 the number of MRI examinations per 1000 persons increased by ____. |
Reference: | Organisation for Economic Co-operation and Development (OECD) Health Care Utilization Report 2000-2020 http://www.stats.oecd.org. Accessed April 18, 2022. |
Choice A: | 20% |
Choice B: | 7.2% |
Choice C: | 39% |
Choice D: | 97% |
Question 2: Imaging workflow solutions are usually successfully implemented without a robust informatic infrastructure. |
Reference: | Letourneau-Guillon L, Camirand D, Guilbert F, Forghani R. Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics. Neuroimaging Clinics of North America. Elsevier BV; 2020;30(4):e1–e15. doi: 10.1016/j.nic.2020.08.008. |
Choice A: | True |
Choice B: | False |
Question 3: In a case study utilizing imaging workflow solutions, the authors found that approximately ____ of MRI studies exceeded the scheduled duration. |
Reference: | Meyl TP, Berghöfer A, Blatter T, Heverhagen JT, de Bucourt M, Maurer MH. Software-Based Evaluation of Optimization Potential for Clinical MRI Scanners in Radiology. Rofo. 2022 Apr;194(4):391-399. doi: 10.1055/a-1659-8821. |
Choice A: | 25% |
Choice B: | 35% |
Choice C: | 45% |
Choice D: | 55% |
Question 4: Which of the following are examples of manual process improvement techniques that can be utilized in healthcare: |
Reference: | Rawson, J., Kanna, A., Furman, M. Use of Process Improvement Tools in Radiology. Current Problems in Diagnostic Radiology. 2016 Mar-Apr; 45(2): 94-100. doi: 10.1067/j.cpradiol.2015.09.004 |
Choice A: | Plan, Do, Study, Act Cycle |
Choice B: | System of Profound Knowledge |
Choice C: | Six Sigma |
Choice D: | All of the above |
Choice E: | None of the above |
Question 5: Efficient imaging workflows can improve patient care and reduce costs associated with imaging studies. |
Reference: | Talati, I., Krishnan, P., Filice, R. Developing Deeper Radiology Exam Insight to Optimize MRI workflow and Patient Experience. Journal of Digital Imaging. 2019 January; 32: 865-869. |
Choice A: | True |
Choice B: | False |
Question 6: Which of the following are challenges to the implementation of machine learning? |
Reference: | Choy, G., Khalilzadeh, O., Michalski, M., Do, S., Samir, A., Pianykh, E., Geis, J., Pandharipande, P., Brink, J., Dreyer, K. Current Applications and Future Impact of Machine Learning in Radiology. Radiology. 2018 August; 288(2): 318-328. doi: 10.1148/radiol.2018171820 |
Choice A: | Bias |
Choice B: | High quality training data |
Choice C: | Regulatory issues |
Choice D: | None of the above |
Choice E: | All of the above |
Question 7: A properly implemented dose monitoring system does not require continuous quality and improvement initiatives. |
Reference: | Fitousi, N. Patient Dose Monitoring Systems: A New Way of Managing Patient Dose and Quality in the Radiology Department. Physica Medica. 2017 December; 44:212-221. |
Choice A: | True |
Choice B: | False |
Question 8: Workflow solutions can assist in the which of the following diagnostic imaging tasks |
Reference: | Ranschaert, E., Topff, L., Pianykh, O. Optimization of Radiology Workflow with Artificial Intelligence. Radiologic Clinics of North America. November 2021; 59(6): 955-966. |
Choice A: | Operational efficiency |
Choice B: | Scan protocols |
Choice C: | Worklist optimization |
Choice D: | Report generation |
Choice E: | All of the above |
Choice F: | None of the above |
Question 9: In one study of 1,041 European radiologists and radiology residents, fear of artificial intelligence was _______ with intermediate/advanced understanding of AI. |
Reference: | Huisman, M., et al. An International Survey on AI in Radiology in 1,041 Radiologists and Radiology Residents Part 1: Fear of Replacement, Knowledge, and Attitude. Imaging Informatics and Artificial Intelligence. 2021 March; 31: 7058-7066. |
Choice A: | Directly associated |
Choice B: | Inversely associated |
Choice C: | Not associated |
Question 10: Artificial intelligence is a field of machine learning. |
Reference: | European Society of Radiology. What the Radiologist Should Know About Artificial Intelligence – an ESR white paper. Insights into Imaging. 2019; 10(44). |
Choice A: | True |
Choice B: | False |