The current pipeline of physician assistant (PA) school applicants reflects the future workforce of the profession, which is why the admissions process with all its components and variables is so important. Many studies have shown that a workforce that represents the patients it cares for leads to improved health outcomes, especially among underrepresented minority populations. Yet, PA programs have made little progress over the past 2 decades in increasing the diversity of matriculants and graduates. As a profession, it is our collective responsibility to intentionally advance diversity, equity, and inclusion, and examining the admissions process would be the most logical place to start.
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http://dx.doi.org/10.1097/JPA.0000000000000414 | DOI Listing |
J Med Educ Curric Dev
January 2025
University of Kansas, Department of Surgery, Kansas City, KS, USA.
Background: The demographics of medical schools reveal a growing trend towards greater gender and underrepresented in medicine (UIM) representation among students, yet surgical residency lags behind. This study explores the demographics of first-year medical students (M1s) and their initial career interests.
Methods: A panel of faculty physicians and fourth-year medical students in surgical and nonsurgical specialties was held for M1s during orientation week.
Optom Vis Sci
January 2025
Johnson & Johnson MedTech (Vision), Irvine, California.
Significance: Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analyzed to date, demonstrate development of algorithms that provide standardized, real-time inference that addresses all of these limitations.
Purpose: This study aimed to develop and validate an algorithmic pipeline to automate and standardize meibomian gland absence assessment and interpretation.
Neuroinformatics
January 2025
Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
This paper introduces the Automated Lesion and Feature Extraction (ALFE) pipeline, an open-source, Python-based pipeline that consumes MR images of the brain and produces anatomical segmentations, lesion segmentations, and human-interpretable imaging features describing the lesions in the brain. ALFE pipeline is modeled after the neuroradiology workflow and generates features that can be used by physicians for quantitative analysis of clinical brain MRIs and for machine learning applications. The pipeline uses a decoupled design which allows the user to customize the image processing, image registrations, and AI segmentation tools without the need to change the business logic of the pipeline.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Cancer
January 2025
Department of Urology, University of Michigan, Ann Arbor, Michigan, USA.
Women now comprise over 50% of medical school graduates and over one-third of practicing physicians in the United States. Despite this progress, significant barriers to career advancement and leadership persist, particularly in male-dominated fields like urology and oncology. Women physicians are linked to improved patient outcomes and are critical to addressing the projected physician shortage, which is expected to be exaggerated in oncology specialties.
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