Machine learning and artificial intelligence (AI/ML) models in healthcare may exacerbate health biases. Regulatory oversight is critical in evaluating the safety and effectiveness of AI/ML devices in clinical settings. We conducted a scoping review on the 692 FDA-approved AI/ML-enabled medical devices approved from 1995-2023 to examine transparency, safety reporting, and sociodemographic representation.
View Article and Find Full Text PDFThe U.S. encompasses a heterogenous mix of people and health disparities exist for various subpopulations, such as minorities, women, people with limited English proficiency, those with low socioeconomic status, and other underserved groups.
View Article and Find Full Text PDFThe intertwined themes that emerge from these passionately told narratives demonstrate how difficult it can be to navigate chronic pain. Many authors describe the labor of living in chronic pain, and several refer to their use of opioid medication as a tool to facilitate participation. The relationship between tolerance, dependence, and addiction is touched on in a handful of narratives, with some authors confronting-and seemingly internalizing-the stigma of addiction in seeking to regulate their opioid use.
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