Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013766 | PMC |
| http://dx.doi.org/10.21037/acs-2024-etavr-0136 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Progress of a Novel Dentistry Teaching Model Based on the Combination of Virtual Reality and Artificial Intelligence Technologies in Optimizing Cognitive Load: A Systematic Review.
J Dent Educ
September 2025
Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, P. R. China.
Background: Virtual reality (VR) and artificial intelligence (AI) technologies have advanced significantly over the past few decades, expanding into various fields, including dental education.
Purpose: To comprehensively review the application of VR and AI technologies in dentistry training, focusing on their impact on cognitive load management and skill enhancement. This study systematically summarizes the existing literature by means of a scoping review to explore the effects of the application of these technologies and to explore future directions.
Bio-ethical issues of research in Sub-Saharan Africa.
Monash Bioeth Rev
September 2025
Department of Biochemistry, Cell and Molecular Biology, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana.
This paper examines bioethical considerations of research conducted in Sub-Saharan Africa (SSA), where a notable scarcity persists in literature addressing region-specific bioethical issues. Although bioethics-related activities have encountered challenges surpassing existing protocol safeguards, emerging evidence demonstrates growing recognition of integrated scientific and ethical principles within African medical research. Maintaining research continuity in resource-limited settings necessitates bridging critical gaps between informed consent procedures and participants' actual understanding.
View Article and Find Full Text PDF[Complex trauma: A theoretical and clinical approach].
Encephale
September 2025
Université McGill, 550, Sherbrooke Ouest Suite 100, Tour Est, H3A 1B9 Montreal, Quebec, Canada. Electronic address:
The concept of complex trauma (or developmental trauma) has been proposed to refer both to chronic exposure to interpersonal experiences in children and adolescents and to the constellation of possible sequelae that cause significant difficulties throughout life. The purpose of this chapter is to provide an overview of the theoretical and clinical approaches to complex trauma in order to better understand the scope of this concept. Through a review of the literature, this chapter outlines the historical evolution of this concept, its current definition, the diagnostic issues involved, and the preferred directions for its future use in research and clinical practice.
View Article and Find Full Text PDFCorrigendum to "Current status and future direction of mechanotransduction mechanisms: Perspectives from cell membrane to nucleus" [Biochem. Biophys. Res. Commun. 781 (2025) 152524].
Biochem Biophys Res Commun
September 2025
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan, 430079, People's Republic of China. Electronic address: guoliang@w
[Development of an AI-based Positioning Technical Assistance System for Mammography].
Nihon Hoshasen Gijutsu Gakkai Zasshi
September 2025
Department of Radiological Technology, Faculty of Health Sciences, Gifu University of Medical Science.
Purpose: We aimed to develop an AI-based system to score the positioning in mammography (MG), with the goal of establishing a foundation for future technical support.
Methods: Using 800 mediolateral oblique (MLO) images, we developed an AI model (Mask Generation Model) for automatic extraction of three regions: the pectoralis major muscle, the mammary gland region, and the nipple. Using this model, we extracted three regions from 1544 MLO images and generated mask images.