Radiology Stereotypes, Application Barriers, and Hospital Integration: A Mixed-methods Study of Medical Student Perceptions of Radiology

Patient Engagement in Neuroradiology: A Narrative Review and Case Studies

The field of patient engagement in radiology is evolving and offers ample opportunities for neuroradiologists to become involved. The patient journey can serve as a model that inspires patient engagement initiatives. The patient journey in radiology may be viewed in 5 stages: 1) awareness that an imaging test is needed, 2) considering having a specific imaging test, 3) access to imaging, 4) imaging service delivery, and 5) ongoing care. Here, we describe patient engagement opportunities based on literature review and paired with case studies by practicing neuroradiologists.

Novel radiology PRIMER course enhances medical student perception of radiology and key concept comprehension

RATIONALE AND OBJECTIVES

A novel three-day radiology course, PRIMER, directly preceding medical students' clinical year, was created and assessed. The required course consisted of large group lecture sessions, small group breakout sessions, and individual assignments. Though early exposure to radiology has been described in preclinical anatomy curricula, few schools offer immersive experiences to radiology as a direct predecessor to the wards.

MATERIALS AND METHODS

An identical survey was distributed prior to and at the completion of the PRIMER course. Students' perceptions of radiology were assessed through Likert-style questions. Students' knowledge of radiological concepts was assessed through multiple choice questions (MCQs) related to key concepts, MCQs in which students selected the most likely diagnosis, and hotspot questions in which learners had to select the area of greatest clinical importance. Mean pre- and post-course student perception scores were compared using a T-test. For knowledge-based questions, each student received an exam score, and mean pre- and post-exam scores were compared using a T-test.

RESULTS

Students' opinions of radiology changed significantly in a favorable direction across all tested questions between inception and conclusion of PRIMER (p < 0.01). Students demonstrated superior knowledge of radiological concepts after course completion (posttest mean 52% vs pretest mean 26.3%, p < 0.01).

CONCLUSION

The novel radiology PRIMER course promoted a positive impression of radiology and increased medical students' knowledge of key concepts. These results suggest that a condensed introductory radiology curriculum delivered at a key moment in the overarching curriculum can have a significant impact on medical students' perceptions and knowledge.

Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists

RATIONALE AND OBJECTIVES

Artificial intelligence (AI) is changing radiology by automating tasks and assisting in abnormality detection and understanding perceptions of medical students, radiology trainees, and radiologists is vital for preparing them for AI integration in radiology.

MATERIALS AND METHODS

A systematic review and meta-analysis were conducted following established guidelines. PubMed, Scopus, and Web of Science were searched up to March 5, 2023. Eligible studies reporting outcomes of interest were included, and relevant data were extracted and analyzed using STATA software version 17.0.

RESULTS

A meta-analysis of 21 studies revealed that 22.36% of individuals were less likely to choose radiology as a career due to concerns about advances in AI. Medical students showed higher rates of concern (31.94%) compared to radiology trainees and radiologists (9.16%) (P < .01). Radiology trainees and radiologists also demonstrated higher basic AI knowledge (71.84% vs 35.38%). Medical students had higher rates of belief that AI poses a threat to the radiology job market (42.66% vs 6.25%, P < .02). The pooled rate of respondents who believed that "AI will revolutionize radiology in the future" was 79.48%, with no significant differences based on participants' positions. The pooled rate of responders who believed in the integration of AI in medical curricula was 81.75% among radiology trainees and radiologists and 70.23% among medical students.

CONCLUSION

The study revealed growing concerns regarding the impact of AI in radiology, particularly among medical students, which can be addressed by revamping education, providing direct AI experience, addressing limitations, and emphasizing medico-legal issues to prepare for AI integration in radiology.

How do medical students, residents and graduated physicians really perceive radiologists? A cross-national study

BACKGROUND

Radiology has always been an attractive specialty for residents, but its attractiveness has recently decreased in France regarding the median choice rank after at the National Residency Board.

AIM

To study Radiologists' perceptions and social representations (SRs) among a group of medical students, residents and graduated physicians in France, to better understand the view of Radiologists to debunk stereotypes.

METHODS

The nationwide web-based survey was based on valid hierarchical evocation methods. We determined the corpus's central core and SRs' principal themes with prototypical and correspondence factor analysis (CFA), respectively.

RESULTS

Overall, 419 answers were analyzed. Radiologists' SRs were divided into 3 classes: negative stereotypes of Radiologists, negative stereotypes of the Radiologists' daily practice and Radiologists' skills. After multivariate analysis, variables that seemed to have a positive influence on Radiologists' SRs were considering radiology as a potential choice of specialty (p < 0.001) and the existence of practical experience in Radiology (p = 0.008). Women seemed to have a more negative SR of Radiologists than men (p = 0.035).

DISCUSSION

This was the largest qualitative study on the subject and the only one among medical students, residents and graduated physicians, allowing a global picture. SRs of Radiologists seemed to be negative, potentially caused by poor knowledge of the Radiologists' profession.

CONCLUSION

SRs of Radiologists among medical students and graduated physicians appears to be negative. Promoting the specialty among medical students and encouraging their immersion in a Radiology department could help to debunk many stereotypes about the daily life and missions of Radiologists.

Analyzing Barriers and Enablers for the Acceptance of Artificial Intelligence Innovations into Radiology Practice: A Scoping Review

OBJECTIVES

This scoping review was conducted to determine the barriers and enablers associated with the acceptance of artificial intelligence/machine learning (AI/ML)-enabled innovations into radiology practice from a physician's perspective.

METHODS

A systematic search was performed using Ovid Medline and Embase. Keywords were used to generate refined queries with the inclusion of computer-aided diagnosis, artificial intelligence, and barriers and enablers. Three reviewers assessed the articles, with a fourth reviewer used for disagreements. The risk of bias was mitigated by including both quantitative and qualitative studies.

RESULTS

An electronic search from January 2000 to 2023 identified 513 studies. Twelve articles were found to fulfill the inclusion criteria: qualitative studies (n = 4), survey studies (n = 7), and randomized controlled trials (RCT) (n = 1). Among the most common barriers to AI implementation into radiology practice were radiologists' lack of acceptance and trust in AI innovations; a lack of awareness, knowledge, and familiarity with the technology; and perceived threat to the professional autonomy of radiologists. The most important identified AI implementation enablers were high expectations of AI's potential added value; the potential to decrease errors in diagnosis; the potential to increase efficiency when reaching a diagnosis; and the potential to improve the quality of patient care.

CONCLUSIONS

This scoping review found that few studies have been designed specifically to identify barriers and enablers to the acceptance of AI in radiology practice. The majority of studies have assessed the perception of AI replacing radiologists, rather than other barriers or enablers in the adoption of AI. To comprehensively evaluate the potential advantages and disadvantages of integrating AI innovations into radiology practice, gathering more robust research evidence on stakeholder perspectives and attitudes is essential.

Using a Nationwide Virtual Radiology Student Interest Group to Expand Medical Students' General Awareness, Drive Greater Interest, and Achieve Uniform National Messaging in the Field of Radiology

RATIONALE AND OBJECTIVES

Many medical schools offer minimal exposure to radiology, leading to a decreased understanding of the field and negative perceptions among medical students. The purpose of this study was to examine the effects of a radiology intensive series piloted by a novel virtual radiology interest group. Specifically, we were interested in how radiologists and medical educators can expand students' general awareness, drive greater interest in the field, and achieve more uniform national messaging across all trainees.

MATERIALS AND METHODS

We launched a national/international interest group called Radiology Student Interest Group (RadSIG) and piloted the RadSIG Intensive, a series of five events aimed at increasing awareness and dispelling misconceptions among preclinical medical students. Validated pre-intensive and post-intensive surveys were used to ascertain the students' baseline and changed perspectives, respectively. A separate faculty survey was also distributed to understand how they perceived our events. Statistical analysis was carried out on the collected data to identify trends and assess the utility of our programming.

RESULTS

205 students completed the pre-intensive survey, and 61 students completed the post-intensive survey. Of the pre-intensive survey respondents, 51.7% (106/205) indicated that they had a limited understanding of what a career in radiology entails. Of those who completed the entire RadSIG Intensive, average 5-point Likert scale scores for understanding of a radiology career rose from 3.30 to 4.38 respectively pre- to post-completion. A Wilcoxon signed-rank test revealed that this difference was statistically significant (Z=-5.95, p<0.001), and that the RadSIG Intensive significantly improved perceptions of radiologists across every single question measured, except for perception of long hours worked (Z=-0.20, p=0.841). The results also showed increased student comfort in reaching out to radiology attendings (Z=-4.30, p<0.001) and residents (Z=-5.12, p<0.001). Faculty survey results indicated positive perceptions of the series.

CONCLUSION

Our results show that the RadSIG Intensive was effective in increasing students' understanding of radiology as a field and a potential career. Online outreach can also lower the resistance and improve student comfort in reaching out for mentorship, which may provide a new pathway to reach underserved students with a unifying message. By furthering a platform based on voluntary and supplemental resources, we see a far greater potential of impacting the perception and known role of the imager in patient care among our next generation of physicians.