Artificial Intelligence Meets Holistic Review: Promises and Pitfalls of Automating the Medical Education Admissions Process.

Holistic review has been widely adopted in medical education as a means of promoting equity in the application process and diversity in the medical workforce. Artificial intelligence (AI) is a rapidly emerging technology already having an impact on the medical school and residency application process as students and faculty alike increasingly turn to AI tools to automate some steps in the preparation and evaluation of application materials. While AI may have the potential to improve the holistic admissions process by increasing efficiency and adding some measure of standardization among reviewers, the authors caution that this promise does not come without certain pitfalls.

Trends in use of outpatient minimally-invasive adrenalectomy: A population-based analysis.

Purpose: To examine temporal trends and outcomes of outpatient adrenalectomy in a population-based sample.

Methods: We performed a retrospective cohort study using the Healthcare Cost and Utilization Project's State Inpatient and State Ambulatory Surgery Databases, 2016-2020. Patients undergoing minimally invasive adrenalectomy were identified using billing codes.

Protocol for a single-arm feasibility trial of virtual family-centered rounds: increasing opportunities for family engagement among caregivers with language preference other than English.

Background: Telehealth use during family-centered rounds in the neonatal intensive care unit has been shown to shorten length of hospitalization and improve breastfeeding outcomes. For families who speak languages other than English, access to and use of telehealth technologies can be impeded by lack of interpreter services. We aim to evaluate the feasibility of telehealth use during family-centered rounds in the neonatal intensive care unit for families who speak languages other than English.

The association between lipoprotein(a) levels and the development of cardiac allograft vasculopathy.

Lipoprotein(a) [Lp(a)] has been established as an independent risk factor for cardiovascular diseases. However, its role in cardiac allograft vasculopathy (CAV) development remains controversial. In a retrospective cohort study of 385 patients who underwent heart transplant between 2001 and 2023, Lp(a) concentrations were compared between patients with and without clinically significant CAV (grade 0-1 vs 2-3).