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J Adolesc
November 2024
School of Social Work, University at Buffalo, Buffalo, New York, USA.
Introduction: The current study examines Bay-Cheng and Ginn's (2024) claim that marginalized youth confront two intertwined sexual risk dilemmas: being put at risk by unjust social forces and structures that threaten their sexual health and safety; and being kept from risk by those same forces and structures, thus compromising their development and dignity.
Methods: We explored the presence and relevance of these dilemmas using interviews conducted in 2022 with 101 racialized and/or queer (i.e.
Sci Rep
July 2024
Intelligent Critical Care Center (IC3), University of Florida, Gainesville, USA.
The clock drawing test (CDT) is a neuropsychological assessment tool to screen an individual's cognitive ability. In this study, we developed a Fair and Interpretable Representation of Clock drawing test (FaIRClocks) to evaluate and mitigate classification bias against people with less than 8 years of education, while screening their cognitive function using an array of neuropsychological measures. In this study, we represented clock drawings by a priorly published 10-dimensional deep learning feature set trained on publicly available data from the National Health and Aging Trends Study (NHATS).
View Article and Find Full Text PDFClin Orthop Relat Res
June 2024
Department of Orthopaedic Surgery, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, OH, USA.
Introduction: Letters of recommendation are considered an important factor in the holistic ranking of orthopaedic residency applications. The standardized letter of recommendation (SLOR) was introduced in 2017 in response to the inherent bias and limited comparative value of traditional LORs. It includes standardized questions about an applicant's orthopaedic qualifications, designed to enable fair comparisons among candidates.
View Article and Find Full Text PDFJ Gen Intern Med
October 2024
Department of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, The City University of New York, New York, NY, USA.
Emerging consensus in the medical and public health spheres encourages removing race and ethnicity from algorithms used in clinical decision-making. Although clinical algorithms remain appealing given their promise to lighten the cognitive load of medical practice and save time for providers, they risk exacerbating existing health disparities. Race is a strong risk marker of health outcomes, yet it is not a risk factor.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!