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Enhancing panoramic dental imaging with AI-driven arch surface fitting: Achieving improved clarity and accuracy through an optimal reconstruction zone.
Dentomaxillofac Radiol
January 2025
Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Yangsan, 50612, Korea.
Objectives: This study aimed to develop an automated method for generating clearer, well-aligned panoramic views by creating an optimized three-dimensional (3D) reconstruction zone centered on the teeth. The approach focused on achieving high contrast and clarity in key dental features, including tooth roots, morphology, and periapical lesions, by applying a 3D U-Net deep learning model to generate an arch surface and align the panoramic view.
Methods: This retrospective study analyzed anonymized cone-beam CT (CBCT) scans from 312 patients (mean age 40 years; range 10-78; 41.
Leveraging deep learning for robust EEG analysis in mental health monitoring.
Front Neuroinform
January 2025
Hefei University, Hefei, China.
Introduction: Mental health monitoring utilizing EEG analysis has garnered notable interest due to the non-invasive characteristics and rich temporal information encoded in EEG signals, which are indicative of cognitive and emotional conditions. Conventional methods for EEG-based mental health evaluation often depend on manually crafted features or basic machine learning approaches, like support vector classifiers or superficial neural networks. Despite the potential of these approaches, they often fall short in capturing the intricate spatiotemporal relationships within EEG data, leading to lower classification accuracy and poor adaptability across various populations and mental health scenarios.
View Article and Find Full Text PDFMental health nursing is dependent on nurses' ability to engage in therapeutic relationships with patients. The ability to manage professional boundaries is equally important, but less explored. This study aims to address the following research questions: How do nurses define their professional, personal, and private roles? What are nurses' experiences with professional boundaries? What are the implications of nurses' understanding of these boundaries? Nurse-patient relationships are characterized by asymmetrical power dynamics, which places the responsibility of delineating professional boundaries on the nurse.
View Article and Find Full Text PDFEnhancing creative process engagement in university students: the mediating role of trust and empowerment and the moderating effect of proactive personality in humble teacher leadership.
BMC Psychol
January 2025
School of Public Administration and Policy, Dalian University of Technology, Linggong Road NO. 2, Ganjingzi District, Dalian, 116024, Liaoning, China.
This study examines the interplay between humble teacher leadership and student creative process engagement, grounded in Social Exchange Theory and Self-Determination Theory. Additionally, it analyzes the sequential mediating roles of student trust and psychological empowerment, as well as the moderating effect of proactive personality. Data were collected at three time points from 384 participants across Chinese universities and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart PLS 4.
View Article and Find Full Text PDFNavigating the referral boundaries for organ and tissue donation: An interpretive description study.
Aust Crit Care
January 2025
School of Nursing, College of Health and Medicine, University of Tasmania, Private Bag 132, Hobart, Tasmania 7001, Australia.
Background: The gap between organ availability and the number of people waiting for a transplant remains a major healthcare issue. Most transplanted organs and tissue are received from donors who have died in intensive care units (ICUs). To increase the number of donors, national guidelines and professional bodies in Australia support routine consideration of organ and tissue donation at the end of life.
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