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Virtual Reality (VR) technology offers a scalable and cost-effective approach to overcome the challenges of traditional medical training, including high expenses, limited resources, and ethical issues. This study presents a VR-based medical training platform that combines high-fidelity 3D models, real-time haptic feedback, and AI-driven adaptive learning to deliver interactive and immersive instructions for a wide range of medical procedures, from basic tasks to complex surgeries. In a randomized controlled trial, participants trained with the VR platform demonstrated significant gains over those using conventional methods, with a 42% improvement in procedural accuracy, a 38% reduction in training time, and better skill retention. The VR system also led to a 45% decrease in error rates and a 48% increase in trainee confidence. These findings highlight the platform's capacity to personalize training according to individual performance, resulting in superior learning outcomes and enhanced procedural skills. By providing consistent, standardized, and immersive learning experiences, the platform effectively bridges the gap between theory and practice, representing an innovative and scalable advancement in medical education.
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http://dx.doi.org/10.1038/s41598-025-10543-8 | DOI Listing |
Neural Netw
September 2025
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China. Electronic address:
Automatic segmentation of retinal vessels from retinography images is crucial for timely clinical diagnosis. However, the high cost and specialized expertise required for annotating medical images often result in limited labeled datasets, which constrains the full potential of deep learning methods. Recent advances in self-supervised pretraining using unlabeled data have shown significant benefits for downstream tasks.
View Article and Find Full Text PDFEur J Oncol Nurs
August 2025
Koç University Hospital, Faculty of Medicine, Department of Medical Oncology, Istanbul, Türkiye. Electronic address:
Purpose: This study aimed to evaluate the effectiveness of a mobile chemotherapy drug guide application, ChemoNurse, developed for cancer nurses, in improving their knowledge and attitudes toward chemotherapy practices.
Methods: A randomized controlled trial with a repeated-measures design was conducted with 59 nurses (29 intervention, 30 control) who participated. Nurses in the intervention group used the ChemoNurse mobile application for six months, while the control group received no additional intervention.
J Med Chem
September 2025
State Key Laboratory of Bioactive Molecules and Druggability Assessment, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery o
Aberrant activation of fibroblast growth factor receptors (FGFRs) plays a critical role in tumorigenesis across multiple cancer types, driving the development of various FGFR inhibitors. Despite clinical advances, therapeutic efficacy remains limited by the emergence of drug resistance, primarily mediated by gatekeeper mutations in FGFRs. To overcome this challenge, we designed and synthesized a novel series of 7-(1-methyl-1-indole-3-yl)-5-pyrrolo[2,3-]pyrazine derivatives as covalent pan-FGFR inhibitors targeting both wild-type and gatekeeper mutants.
View Article and Find Full Text PDFDementia (London)
September 2025
CIRCLE - Complex Intervention Research in Health and Care, Department of Women´s and Children´s Health, Uppsala University, Uppsala, Sweden.
People with dementia are living longer in the community and reliance on informal caregivers is increasing. Few studies have focused on the experiences of adult-daughter caregivers (daughter caregivers), who may have increased risk of depression and lack of support compared with spousal caregivers. We aimed to explore the experiences of accessing and receiving formal and informal support among daughter caregivers of people living with dementia in Sweden.
View Article and Find Full Text PDFJMIR Hum Factors
September 2025
College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Background: The rapid advancement of next-generation sequencing has significantly expanded the landscape of precision medicine. However, health care professionals face increasing challenges in keeping pace with the growing body of oncological knowledge and integrating it effectively into clinical workflows. Precision oncology decision support (PODS) tools aim to assist clinicians in navigating this complexity, yet their current functionalities only partially address clinical needs.
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