Dataset Information

Interest in Interventional Radiology at Different Stages of Training: Possible Implications for the New Integrated Interventional Radiology Residency.

ABSTRACT: PURPOSE:Integrated interventional radiology (IR) residencies recently underwent their second year in the match, the first year of which involved only a limited number of programs. Now that students can choose to enter IR directly, student perceptions of IR vs diagnostic radiology (DR) are of paramount importance. METHODS:We surveyed first- through fourth-year medical students and radiology residents regarding interest in IR vs DR. RESULTS:Students considering a radiological career expressed more interest in IR than DR. Conversely, residents expressed more interest in DR. CONCLUSIONS:Medical student advisors and IR programs should continue to anticipate a high number of applications for integrated IR positions.

SUBMITTER: Kallianos KG

PROVIDER: S-EPMC5826768 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Interest in Interventional Radiology at Different Stages of Training: Possible Implications for the New Integrated Interventional Radiology Residency.

Kallianos Kimberly G KG Webb Emily M EM Conrad Miles M Ahearn Bren B Naeger David M DM

Current problems in diagnostic radiology 20170824 5

<h4>Purpose</h4>Integrated interventional radiology (IR) residencies recently underwent their second year in the match, the first year of which involved only a limited number of programs. Now that students can choose to enter IR directly, student perceptions of IR vs diagnostic radiology (DR) are of paramount importance.<h4>Methods</h4>We surveyed first- through fourth-year medical students and radiology residents regarding interest in IR vs DR.<h4>Results</h4>Students considering a radiological ...[more]

PMID: 29031939

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Project description:ObjectivesTo present a framework to develop and implement a fast-track artificial intelligence (AI) curriculum into an existing radiology residency program, with the potential to prepare a new generation of AI conscious radiologists.MethodsThe AI-curriculum framework comprises five sequential steps: (1) forming a team of AI experts, (2) assessing the residents' knowledge level and needs, (3) defining learning objectives, (4) matching these objectives with effective teaching strategies, and finally (5) implementing and evaluating the pilot. Following these steps, a multidisciplinary team of AI engineers, radiologists, and radiology residents designed a 3-day program, including didactic lectures, hands-on laboratory sessions, and group discussions with experts to enhance AI understanding. Pre- and post-curriculum surveys were conducted to assess participants' expectations and progress and were analyzed using a Wilcoxon rank-sum test.ResultsThere was 100% response rate to the pre- and post-curriculum survey (17 and 12 respondents, respectively). Participants' confidence in their knowledge and understanding of AI in radiology significantly increased after completing the program (pre-curriculum means 3.25 ± 1.48 (SD), post-curriculum means 6.5 ± 0.90 (SD), p-value = 0.002). A total of 75% confirmed that the course addressed topics that were applicable to their work in radiology. Lectures on the fundamentals of AI and group discussions with experts were deemed most useful.ConclusionDesigning an AI curriculum for radiology residents and implementing it into a radiology residency program is feasible using the framework presented. The 3-day AI curriculum effectively increased participants' perception of knowledge and skills about AI in radiology and can serve as a starting point for further customization.Critical relevance statementThe framework provides guidance for developing and implementing an AI curriculum in radiology residency programs, educating residents on the application of AI in radiology and ultimately contributing to future high-quality, safe, and effective patient care.Key points• AI education is necessary to prepare a new generation of AI-conscious radiologists. • The AI curriculum increased participants' perception of AI knowledge and skills in radiology. • This five-step framework can assist integrating AI education into radiology residency programs.

Project description:Rationale and objectivesVirtual residency interviews have become crucial in maintaining CDC-recommended precautionary measures throughout the ongoing COVID-era. However, scant literature exists regarding the direct impact the pandemic has had on the radiology program selection process, including preferred modalities of residency interviews and social media utilization. This survey aimed to understand how radiology programs adapted to changes in the 2020-2021 virtual application cycle.Materials and methodsA 32-question survey was distributed to 194 residency programs between July and August of 2021. Data were analyzed primarily by using descriptive statistics and Paired Student's T-testing.ResultsA total of 31 programs completed the survey, yielding a response rate of 16%. When queried about the perceived success of virtual interviews during the 2020-2021 application cycle, 21 programs (68%) said the new interview format was very successful. Twenty-seven of the programs (87%) believed they were able to adequately gauge applicants through virtual interviews. However, when surveyed about personal preferences for interviews, the responses were more evenly distributed between virtual (11/31, 35%) and in-person (14/31, 45%). Pre-COVID, the top three criteria programs used to rank candidates were USMLE Step 1 score (20/31, 65%), letters of recommendation (17/31, 55%), and MSPE (12/31, 39%). Within the virtual, COVID-19 era, these criteria remained statistically unchanged (p = 0.22): USMLE Step 1 score (21/31, 68%), letters of recommendation (17/31, 55%), and MSPE (14/31, 45%). About half of programs who had not previously utilized social media (12 of 23, 52%) created accounts, mostly via Twitter or Instagram.ConclusionThe primary findings indicate that programs perceived success with virtually interviewing and ranking applicants, the criteria to rank applicants remain unchanged despite the virtual environment, and programs' social media utilization increased.

Dataset Information

Interest in Interventional Radiology at Different Stages of Training: Possible Implications for the New Integrated Interventional Radiology Residency.

Publications

Interest in Interventional Radiology at Different Stages of Training: Possible Implications for the New Integrated Interventional Radiology Residency.

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