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Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.
BMC Cancer
January 2025
Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.
View Article and Find Full Text PDFCurrent status and associated factors of digital literacy among academic nurse educators: a cross-sectional study.
BMC Med Educ
January 2025
School of Nursing, Xiangnan University, 889 Chenzhou Avenue, Suxian District, Chenzhou, 423000, Hunan, People's Republic of China.
Background: In the backdrop of the ongoing global digital revolution in education, the digital literacy of teachers stands out as a pivotal determinant within the educational milieu. This study aims to explore the current status and associated factors of digital literacy among academic nurse educators.
Methods: A cross-sectional design study utilizing an online questionnaire platform (Wenjuanxing) to collect data from August to October 2023.
Development of a Preliminary Patient Safety Classification System for Generative AI.
BMJ Qual Saf
January 2025
National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, USA.
Generative artificial intelligence (AI) technologies have the potential to revolutionise healthcare delivery but require classification and monitoring of patient safety risks. To address this need, we developed and evaluated a preliminary classification system for categorising generative AI patient safety errors. Our classification system is organised around two AI system stages (input and output) with specific error types by stage.
View Article and Find Full Text PDFWhole personhood in medical education: Visual thinking strategy, close reading, and creative practice with a diversity and equity lens.
Soc Sci Med
December 2024
Jordan Schnitzer Museum of Art at the University of Oregon, Eugene, OR, USA. Electronic address:
Purpose: To create and implement a Whole Personhood in Medical Education curriculum including Visual Thinking Strategies (VTS), close reading, and creative practice that features creative works by BIPOC, persons with disability, and/or LGBTQ + individuals that aligns with educational competencies.
Materials And Methods: Curriculum design by an interdisciplinary team made up of physician educators, medical sociologist, digital collection librarian, and art museum educators. Prospective single arm intervention study at a single site academic teaching hospital.
Integrating crowdsourced data in the built environment studies: A systematic review.
J Environ Manage
January 2025
Department of Landscape Architecture, University of Nevada, Las Vegas, NV, USA. Electronic address:
The integration of crowdsourced data has become central to contemporary built environment studies, driven by the rapid growth in digital technologies and participatory approaches that characterize modern urbanism. Despite its potential, a systematic framework for its analysis remains underdeveloped. This review, conducted in accordance with the PRISMA protocol, examines the use of crowdsourced data in shaping the built environment, scrutinizing its applications, crowdsourcing techniques, methodologies, and comparison with other big data forms.
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