Artificial Intelligence in Radiology Residency Training

2020 ◽  
Vol 24 (01) ◽  
pp. 74-80 ◽  
Author(s):  
Michael C. Forney ◽  
Aaron F. McBride

AbstractArtificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the field of radiology. AI will certainly have an impact on the day-to-day work of radiologists in the coming decades, thus training programs must prepare radiology residents adequately for their future careers. Radiology training programs should aim to give residents an understanding of the fundamentals and types of AI in radiology, the broad areas AI can be applied in radiology, how to assess AI applications in radiology, and resources available to build their knowledge in IA applications in radiology.

2021 ◽  
pp. 084653712098649
Author(s):  
Aida Ahrari ◽  
Aazad Abbas ◽  
Rajesh Bhayana ◽  
Alison Harris ◽  
Linda Probyn

Purpose: Leadership development has become increasingly important in medical education, including postgraduate training in the specialty of radiology. Since leadership skills may be acquired, there is a need to establish leadership education in radiology residency training. However, there is a paucity of literature examining the design, delivery, and evaluation of such programs. The purpose of this study is to collate and characterize leadership training programs across postgraduate radiology residencies found in the literature. Methods: A scoping review was conducted. Relevant articles were identified through a search of Ovid MEDLINE, Ovid EMBASE, Cochrane, PubMed, Scopus, and ERIC databases from inception until June 22, 2020. English-language studies characterizing leadership training programs offered during postgraduate radiology residency were included. A search of the grey literature was completed via a web-based search for target programs within North America. Results: The literature search yielded 1168 citations, with 6 studies meeting inclusion criteria. Four studies were prospective case series and two were retrospective. There was heterogeneity regarding program structure, content, teaching methodology, and evaluation design. All programs were located in the United States. Outcome metrics and success of the programs was variably reported, with a mix of online and in person feedback used. The grey literature search revealed 3 American-based programs specifically catered to radiology residents, and none within Canada. Conclusion: The review highlighted a paucity of published literature describing leadership development efforts within radiology residency programs. The heterogeneity of programs highlighted the need for guidance from regulatory bodies regarding delivery of leadership curricula.


Author(s):  
Dorien van Montfort ◽  
Ellen Kok ◽  
Koen Vincken ◽  
Marieke van der Schaaf ◽  
Anouk van der Gijp ◽  
...  

Abstract The current study used theories on expertise development (the holistic model of image perception and the information reduction hypothesis) as a starting point to identify and explore potentially relevant process measures to monitor and evaluate expertise development in radiology residency training. It is the first to examine expertise development in volumetric image interpretation (i.e., CT scans) within radiology residents using scroll data collected longitudinally over five years of residency training. Consistent with the holistic model of image perception, the percentage of time spent on full runs, i.e. scrolling through more than 50% of the CT-scan slices (global search), decreased within residents over residency training years. Furthermore, the percentage of time spent on question-relevant areas in the CT scans increased within residents over residency training years, consistent with the information reduction hypothesis. Second, we examined if scroll patterns can predict diagnostic accuracy. The percentage of time spent on full runs and the percentage of time spent on question-relevant areas did not predict diagnostic accuracy. Thus, although scroll patterns over training years are consistent with visual expertise theories, they could not be used as predictors of diagnostic accuracy in the current study. Therefore, the relation between scroll patterns and performance needs to be further examined, before process measures can be used to monitor and evaluate expertise development in radiology residency training.


Author(s):  
Merel Huisman ◽  
Erik Ranschaert ◽  
William Parker ◽  
Domenico Mastrodicasa ◽  
Martin Koci ◽  
...  

Abstract Objectives Radiologists’ perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists and residents in Europe and beyond. Methods Between April and July 2019, a survey on fear of replacement, knowledge, and attitude towards AI was accessible to radiologists and residents. The survey was distributed through several radiological societies, author networks, and social media. Independent predictors of fear of replacement and a positive attitude towards AI were assessed using multivariable logistic regression. Results The survey was completed by 1,041 respondents from 54 mostly European countries. Most respondents were male (n = 670, 65%), median age was 38 (24–74) years, n = 142 (35%) residents, and n = 471 (45%) worked in an academic center. Basic AI-specific knowledge was associated with fear (adjusted OR 1.56, 95% CI 1.10–2.21, p = 0.01), while intermediate AI-specific knowledge (adjusted OR 0.40, 95% CI 0.20–0.80, p = 0.01) or advanced AI-specific knowledge (adjusted OR 0.43, 95% CI 0.21–0.90, p = 0.03) was inversely associated with fear. A positive attitude towards AI was observed in 48% (n = 501) and was associated with only having heard of AI, intermediate (adjusted OR 11.65, 95% CI 4.25–31.92, p < 0.001), or advanced AI-specific knowledge (adjusted OR 17.65, 95% CI 6.16–50.54, p < 0.001). Conclusions Limited AI-specific knowledge levels among radiology residents and radiologists are associated with fear, while intermediate to advanced AI-specific knowledge levels are associated with a positive attitude towards AI. Additional training may therefore improve clinical adoption. Key Points • Forty-eight percent of radiologists and residents have an open and proactive attitude towards artificial intelligence (AI), while 38% fear of replacement by AI. • Intermediate and advanced AI-specific knowledge levels may enhance adoption of AI in clinical practice, while rudimentary knowledge levels appear to be inhibitive. • AI should be incorporated in radiology training curricula to help facilitate its clinical adoption.


Author(s):  
Zahraa S. A. Alkhalaf ◽  
Derya Yakar ◽  
Jan Cees de Groot ◽  
Rudi A. J. O. Dierckx ◽  
Thomas C. Kwee

Abstract Objective To determine the association between medical knowledge relevant to radiology practice (as measured by the Dutch radiology progress test [DRPT]) and clinical productivity during radiology residency. Methods This study analyzed the results of 6 DRPTs and time period–matched clinical production points of radiology residents affiliated to a tertiary care academic medical center between 2013 and 2016. The Spearman correlation analysis was performed to determine the association between DRPT percentile scores and average daily clinical production points. Linear regression analyses were performed to determine the association of DRPT percentile scores with average daily clinical production points, adjusted for age and gender of the radiology resident, and postgraduate year. Results Eighty-four DRPTs with time period–matched clinical production points were included. These 84 DRPTs were made by 29 radiology residents (18 males and 11 females) with a median age of 31 years (range: 26–38 years). The Spearman correlation coefficient between DRPT percentile scores and average daily clinical production points was 0.550 (95% confidence interval: 0.381–0.694) (p < 0.001), indicating a significant moderate positive association. On multivariate analysis, average daily clinical production points (β coefficient of 0.035, p = 0.003), female gender of the radiology resident (β coefficient of 12.690, p = 0.001), and postgraduate year (β coefficient of 10.179, p < 0.001) were significantly associated with DRPT percentile scores. These three independent variables achieved an adjusted R2 of 0.527. Conclusion Clinical productivity is independently associated with medical knowledge relevant to radiology practice during radiology residency. These findings indicate that clinical productivity of a resident could be a potentially relevant metric in a radiology training program. Key Points • There is a significant moderate correlation between medical knowledge relevant to radiology practice and clinical productivity during radiology residency. • Medical knowledge relevant to radiology practice remains independently associated with clinical productivity during radiology residency after adjustment for postgraduate year and gender. • Clinical productivity of a resident may be regarded as a potentially relevant metric in a radiology training program.


2018 ◽  
Vol 51 (3) ◽  
pp. 162-165
Author(s):  
Francisco Abaeté Chagas-Neto ◽  
Barbara Caracas ◽  
Idalia Fortaleza ◽  
Esio Fortaleza ◽  
Eduardo Lima Rocha ◽  
...  

Abstract Objective: To analyze the perception of the relevance of introducing bilingual (Portuguese-English) musculoskeletal imaging education into radiology and diagnostic imaging residency programs, describing the method used. Materials and Methods: To evaluate the relevance of incorporating the bilingual study of musculoskeletal imaging into medical residency programs, we administered a questionnaire, consisting of several multiple-choice questions and one subjective question, to 21 radiology residents at a private tertiary hospital. The residents completed the questionnaire voluntarily and anonymously. Results: Integrating English teaching into radiology training was considered important by 95.2% of the residents. Approximately 90% of residents believe that the method applied at their institution is suitable for learning. Conclusion: The introduction of the English language into the teaching of musculoskeletal imaging in the radiology residency program was perceived positively by the residents, and the preceptors effectively supported those activities.


2020 ◽  
Vol 71 (4) ◽  
pp. 482-489 ◽  
Author(s):  
Devang Odedra ◽  
Baljot S. Chahal ◽  
Michael N. Patlas

Purpose: The novel coronavirus disease (COVID-19) pandemic has swept the globe, with a domino effect on medical education and training. In this study, we surveyed Canadian radiology residents to understand the impact of the pandemic on their residency training, strategies utilized by the residency programs in mitigating those impacts, and factors important to residents in the selection of educational resources on COVID-19. Methods: A 10-item questionnaire was distributed to 460 resident members of the Canadian Association of Radiologists. The survey was open for 2 weeks, with a reminder sent at half-way mark. Results: We received 96 responses (response rate: 20.9%). The 4 highest affected domains of training were daytime case volumes (92.4%), daytime schedules (87.4%), internal and external assessments (86.5%), and vacation/travel (83.3%). Virtual teaching rounds (91.7%), change in schedules to allow staying home (78.1%), and virtual/phone readouts (72.9%) were the most utilized strategies by the Canadian radiology residency programs. Overall stress of exposure to the disease was moderate to low (86.5%). A minority of the residents were redeployed (6.2%), although most (68.8%) were on standby for redeployment. Residents preferred published society guidelines (92.3%), review papers (79.3%), video lectures (79.3%), and web tools (76.9%) for learning about COVID-19 imaging manifestations. Conclusion: The COVID-19 pandemic has had a significant impact on various domains of the Canadian radiology residency programs, which has been mitigated by several strategies employed by the training programs.


2007 ◽  
Vol 30 (4) ◽  
pp. 67
Author(s):  
S. Glover Takahashi ◽  
M. Alameddine ◽  
D. Martin ◽  
S. Verma ◽  
S. Edwards

This paper is describes the design, development, implementation and evaluation of a preparatory training program for international medical trainees. The program was offered for one week full time shortly before they begin their residency training programs. First the paper reports on the survey and focus groups that guided the learning objectives and the course content. Next the paper describes the curriculum development phase and reports on the topical themes, session goals and objectives and learning materials. Three main themes emerged when developing the program: understanding the educational, health and practice systems in Canada; development of communication skills; and supporting personal success in residency training including self assessment, reflection and personal wellness. Sample lesson plans and handouts from each of the theme areas are illustrated. The comprehensive evaluation of the sessions and the overall program is then also described. The paper then summarizes the identified key issues and challenges in the design and implementation of a preparatory training program for international medical trainees before they begin their residency training programs. Allan GM, Manca D, Szafran O, Korownyk C. Workforce issues in general surgery. Am Surg. 2007 Feb; 73(2):100-8. Dauphinee, WD. The circle game: understanding physician migration patterns within Canada. Acad Med. 2006 (Dec); 81(12 Suppl):S49-54. Spike NA. International medical graduates: the Australian perspective. Academic Medicine. 2006 (Sept); 81(9):842-6.


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