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Using face masks appropriately is important for preventing the community spread of respiratory infections. A cross-sectional study was conducted to evaluate the knowledge level and experience of using face masks between healthcare teams to protect them and limit the spread of COVID-19 infection. A structured questionnaire was distributed to 228 healthcare members in July-December 2021. It was divided into two sections and consisted of 29 questions for a total possible score of 0 to 29. The first section was related to perceptions and knowledge about face masks (13 items); the second was related to the experience of using face masks (16 items). The average score of this questionnaire was 23.21/29 with respect to the knowledge about face masks and their proper use techniques. The healthcare team studied had satisfactory knowledge about face mask use techniques, and the study shed light on their unsatisfactory practices. Following instructions is very vital to protecting the person wearing the mask and preventing the spread of infection during health care by blocking droplets produced by speaking or coughing. Providing the healthcare teams with knowledge and experience about how to use face masks during the pandemic is critical to increase their awareness and practice in using face masks and prevent the infection from spreading.
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http://dx.doi.org/10.3390/healthcare11060838 | DOI Listing |
Med Eng Phys
October 2025
Biomedical Device Technology, Istanbul Aydın University, Istanbul, 34093, Istanbul, Turkey. Electronic address:
Deep learning approaches have improved disease diagnosis efficiency. However, AI-based decision systems lack sufficient transparency and interpretability. This study aims to enhance the explainability and training performance of deep learning models using explainable artificial intelligence (XAI) techniques for brain tumor detection.
View Article and Find Full Text PDFBMC Res Notes
September 2025
Center for Molecular Medicine Cologne, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.
Objectives: Small cell lung cancer (SCLC) accounts for approximately 15% of lung tumors and is marked by aggressive growth and early metastatic spread. In this study, we used two SCLC mouse models with differing tumor mutation burdens (TMB). To investigate tumor composition, spatial architecture, and interactions with the surrounding microenvironment, we acquired multiplexed images of mouse lung tumors using imaging mass cytometry (IMC).
View Article and Find Full Text PDFSupport Care Cancer
September 2025
Department of Psycho-Oncology, HCG Cancer Center, Khasra No. 50, 51, Mouja Wanjri, Bande Nawaz Nagar, Near Automotive Square, Kalamna Ring Road, Nagpur, 440026, Maharashtra, India.
Purpose: Head and neck cancer (HNC) patients undergoing radiation therapy (RT) often experience mask anxiety due to the use of thermoplastic masks for immobilization. This study evaluated the effectiveness of a combined music therapy and relaxation-visualization intervention in reducing mask anxiety among HNC patients receiving RT at a tertiary care super-specialty oncology hospital in central India.
Methods: A total of 216 HNC patients scheduled for RT were randomized into either the intervention group (N = 108) or the control group (N = 108).
Am J Audiol
September 2025
Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC.
Purpose: This exploratory study examined if hearing handicap in older adults affected listening-related fatigue during health care interactions and explored whether different face mask types worn during the coronavirus disease 2019 (COVID-19) pandemic influenced this association.
Method: A cross-sectional observational study among community-dwelling adults aged 60 years and older receiving care at an academic health care system outpatient audiology or otolaryngology clinics was conducted. Eligible participants completed and returned a mail-in self-reported packet including the Hearing Handicap Inventory for the Elderly (Screener Version; HHIE-S) and the 10-item Vanderbilt Fatigue Scale for Adults (VFS-A-10).
IEEE Trans Pattern Anal Mach Intell
September 2025
Generalized visual grounding tasks, including Generalized Referring Expression Comprehension (GREC) and Segmentation (GRES), extend the classical visual grounding paradigm by accommodating multi-target and non-target scenarios. Specifically, GREC focuses on accurately identifying all referential objects at the coarse bounding box level, while GRES aims for achieve fine-grained pixel-level perception. However, existing approaches typically treat these tasks independently, overlooking the benefits of jointly training GREC and GRES to ensure consistent multi-granularity predictions and streamline the overall process.
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