Objectives: To assess changes in peer-reviewed evidence on commercially available radiological artificial intelligence (AI) products from 2020 to 2023, as a follow-up to a 2020 review of 100 products.
Materials And Methods: A literature review was conducted, covering January 2015 to March 2023, focusing on CE-certified radiological AI products listed on www.healthairegister.
Introduction: Improved patient/family education and shared decision-making (SDM) for congenital adrenal hyperplasia (CAH) is needed. We aimed to evaluate patient/family characteristics and management choices since implementation of an SDM tool for CAH.
Materials And Methods: CAH patients at a single institution from 2014 to 2024 were provided an SDM tool for management options.
The implementation of AI can suffer from a wide variety of failures. These failures can impact the performance of AI algorithms, impede the adoption of AI solutions in clinical practice, lead to workflow delays, or create unnecessary costs. This narrative review aims to comprehensively discuss different reasons for AI failures in Radiology through the analysis of published evidence across three main components of AI implementation: (i) the AI models throughout their lifecycle, (ii) the technical infrastructure, including the hardware and software needed to develop and deploy AI models and (iii) the human factors involved.
View Article and Find Full Text PDFIntroduction: Adolescents who perceive low levels of parental support or high levels of parental psychological control are at increased risk for developing loneliness. However, the association between parenting experiences and loneliness varies among adolescents. This study examined whether higher levels of DNA methylation in the glucocorticoid receptor gene (NR3C1), a gene directly involved in stress-reactivity, moderated the association between parental support and psychological control and the development of loneliness in early adolescence.
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