Purpose/objectives: Anatomy has always been one of the most important components of Health Science education. Worldwide, anatomy education is given in an environment based on cadaver, touch and 3D designs. However, this process has become quite difficult as the pandemic restricted use of laboratory procedures, models, and other learning materials. Therefore, education with mobile applications has become much more important. The aim of this study was to measure the effect of mobile applications used in anatomy course, which is one of the courses that form the basis of medical science, on the success levels of students, and to evaluate their perspectives on this method.
Methods: In this study, a real experimental research model with pretest-posttest control group was used in order to determine the difference that may occur between academic achievement and cognitive load when anatomy course students use traditional method or mobile application technology learning method.
Results: The findings of the study showed that the students in the experimental group, in which mobile applications were used in the anatomy course, had higher achievement levels and lower cognitive loads than the students in the control group. Another point that was determined was that the students in the experimental group were satisfied with the fact that the use of the mobile application facilitated learning, and they learned better as the ease of use in the mobile application increased.
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http://dx.doi.org/10.1007/s40670-023-01787-y | DOI Listing |
JMIR Cardio
January 2025
Medicine Faculty, University of Geneva, Geneva, Switzerland.
Background: Medication nonadherence remains a significant challenge in the management of chronic conditions, often leading to suboptimal treatment outcomes and increased health care costs. Innovative interventions that address the underlying factors contributing to nonadherence are needed. Gamified mobile apps have shown promise in promoting behavior change and engagement.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT, 06269, USA.
Wearable and implantable bioelectronics that can interface for extended periods with highly mobile organs and tissues across a broad pH range would be useful for various applications in basic biomedical research and clinical medicine. The encapsulation of these systems, however, presents a major challenge, as such devices require superior barrier performance against water and ion penetration in challenging pH environments while also maintaining flexibility and stretchability to match the physical properties of the surrounding tissue. Current encapsulation materials are often limited to near-neutral pH conditions, restricting their application range.
View Article and Find Full Text PDFNurse Educ Today
January 2025
School of Nursing and Midwifery, Deakin University, Burwood, Victoria 3125, Australia; Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Victoria, Australia.
Objective: To identify and synthesise existing literature about the use of mobile educational applications (apps) designed to enhance the learning experience of nurses and midwives.
Design: A narrative review using a systematic, structured and comprehensive search of the literature.
Data Sources: Medline Complete (EBSCO), CINAHL (EBSCO), ERIC (EBSCO) and Embase (OVID) electronic databases.
Comput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFAge Ageing
January 2025
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: A mobile cognition scale for community screening in cognitive impairment with rigorous validation is in paucity. We aimed to develop a digital scale that overcame low education for community screening for mild cognitive impairment (MCI) due to Alzheimer's disease (AD) and AD.
Methods: A mobile cognitive self-assessment scale (CogSAS) was designed through the Delphi process, which is feasible for the older population with low education.
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