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Objective: Neurosurgery is one of the most competitive specialties, and navigating the match process is often challenging for aspiring applicants. Here, we analyze insights from the National Resident Matching Program Director Surveys, illustrating evolving trends in applicant selection for interviews and for the ranking process, and providing a comparison with other specialties.
Methods: We evaluated 7 surveys administered from 2012 to 2022. Six biennial surveys reported on factors influencing interview and ranking processes, while all 7 surveys included data about the program director (PD)'s attitude toward United States Medical Licensing Examination (USMLE) test scores.
Results: The response rate of PDs decreased over the years. The most cited factor for interviews included specialty-specific recommendation letters (95%), USMLE Step 1 scores (91%), and interest in research (78%). A recent decline in emphasis on USMLE Step 1 scores coincided with a growing reliance on USMLE Step 2 scores. Award in basic science held significant esteem to a subset of programs. Personal characteristics dominated for ranking, with faculty interaction (89%), interpersonal skills (89%), and house staff interaction (85%) being the most important. Yet, PDs reported a difficulty in assessing interpersonal skills through virtual interviews.
Conclusions: Our analysis revealed the pervasive importance of specialized endorsements and academic achievements when screening applicants for the interview process. A shift in emphasis toward the USMLE Step 2 became apparent. Personal characteristics, on the other hand, seemed crucial to make a match and rank high among the pool of interviewed applicants. We uncovered difficulties in assessing these characteristics through virtual interviews.
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http://dx.doi.org/10.1016/j.wneu.2024.06.088 | DOI Listing |
J Craniofac Surg
September 2025
University of Miami Miller School of Medicine, Miami, FL.
Outcomes were to compare the accuracy of 2 large-language models-GPT-4o and o3-Mini-against medical-student performance on otolaryngology-focused, USMLE-style multiple-choice questions. With permission from AMBOSS, we extracted 146 Step 2 CK questions tagged "Otolaryngology" and stratified them by AMBOSS difficulty (levels 1-5). Each item was presented verbatim to GPT-4o and o3-Mini through their official APIs; outputs were scored correct/incorrect.
View Article and Find Full Text PDFAdv Med Educ Pract
August 2025
Registrar's Office, Des Moines University, West Des Moines, IA, USA.
Purpose: This study examined the impact of exam sequence and timing on the performance of osteopathic medical students on the COMLEX-USA Level 1 and Level 2 and USMLE Step 1 and Step 2 examinations.
Methods: Two cohorts were analyzed: 364 osteopathic medical students who completed both COMLEX-USA Level 1 and USMLE Step 1 between 2020 and 2022 (prior to the implementation of pass/fail grading), and 734 osteopathic medical students who completed both COMLEX-USA Level 2 and USMLE Step 2 between 2021 and 2025. Student performance was evaluated based on the sequence of examinations and intervals between them.
BMC Med Educ
August 2025
V.N. Karazin Kharkiv National University, Kharkiv, Ukraine.
Introduction: Securing a residency position in the United States remains a significant challenge for International Medical Graduates (IMGs), particularly those from African countries. Although African IMGs contribute to approximately 25% of the U.S.
View Article and Find Full Text PDFCureus
August 2025
Neurosurgery, University of California, San Diego School of Medicine, San Diego, USA.
Entrance to neurological surgery residency is highly competitive due to the large number of applicants vying for a limited number of spots. The process has become even more competitive in recent years, with a significant increase in applicants but a consistent number of available residency positions. Program director (PD) surveys offer valuable insights into the selection process and expectations for neurosurgical residency, guiding prospective candidates to navigate the challenging training path.
View Article and Find Full Text PDFBMC Med Educ
August 2025
Department of Neurosurgery, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang Alley, Wu Hou Distract, Chengdu, Sichuan Province, 610037, China.
Background: Generative artificial intelligence (AI) tools like ChatGPT (OpenAI) have garnered significant attention for their potential in fields such as medical education; however, their performance of large language and vision models on medical test items involving images remains underexplored, limiting their broader educational utility. This study aims to evaluate the performance of GPT-4 and GPT-4 Omni (GPT-4o), accessed via the ChatGPT platform, on image-based United States Medical Licensing Examination (USMLE) sample items, to explore their implications for medical education.
Methods: We identified all image-based questions from the USMLE Step 1 and Step 2 Clinical Knowledge sample item sets.