Background: Artificial Intelligence (AI) in the selection of residency program applicants is a new tool that is gaining traction, with the aim of screening high numbers of applicants while introducing objectivity and mitigating bias in a traditionally subjective process. This study aims to compare applicants screened by an AI software to a single Program Director (PD) for interview selection.
Methods: A single PD at an ACGME-accredited, academic general surgery program screened applicants.
Our patient was a 78-year-old woman with a large indirect inguinal hernia who underwent Lichtenstein repair. Literature review of the pathophysiology of indirect hernias revealed important discussion of the canal of Nuck in women and understanding embryologic development of ovaries and descent of testes.
View Article and Find Full Text PDFInvestment in healthcare infrastructure in resource-limited settings is a vital and cost-effective approach for diminishing world-wide disease burden, increasing quality of life, and lengthening life expectancy. Graduate medical trainees enthusiastically express interest in supporting global health efforts that expand healthcare access and capacity in resource-limited settings. Academic institutions are responding by developing training programs to equip graduate medical trainees with the technical, interpersonal, scholastic, and ethical skillsets necessary for the pursuit of global health efforts.
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