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A computer-assisted rehabilitation program improves self-management, cognition, and quality of life in epilepsy: A randomized controlled trial.
Epilepsy Behav
January 2025
Selçuk University, Medical Faculty, Department of Neurology, Konya, Turkey. Electronic address:
Objective: This study aimed to evaluate the impact of a computer-assisted rehabilitation program on self-management, cognitive function, and quality of life in people with epilepsy (PwE).
Methods: A randomized controlled trial was conducted with 44 PwE (22 intervention, 22 control) at a university hospital's neurology clinic. The intervention group received 12 sessions of the RehaCom program (45 min/session, twice a week for six weeks).
Feasibility and effects of cognitive training on cognition and psychosocial function in Huntington's disease: a randomised pilot trial.
J Neurol
January 2025
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, 18 Innovation Walk, Clayton, Victoria, 3800, Australia.
Background: Huntington's disease (HD) is a rare neurodegenerative disease that causes progressive cognitive, physical, and psychiatric symptoms. Computerised cognitive training (CCT) is a novel intervention that aims to improve and maintain cognitive functions through repeated practice. The effects of CCT have yet to be established in HD.
View Article and Find Full Text PDFUtilizing Image Processing Techniques for Wound Management and Evaluation in Clinical Practice: Establishing the Feasibility of Implementing Artificial Intelligence in Routine Wound Care.
Adv Skin Wound Care
January 2025
Mai Dabas is Master's Degree Student, Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel. Suzanne Kapp, PhD, RN, is Clinical Associate Professor, School of Health Sciences, Faculty of Medicine, Dentistry and Health Sciences, Department of Nursing, The University of Melbourne, Melbourne, Australia; and National Manager Wound Prevention and Management, Regis Aged Care, Camberwell, Victoria, Australia. Amit Gefen, PhD, is Professor of Biomedical Engineering and the Herbert J. Berman Chair in Vascular Bioengineering, Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel; Skin Integrity Research Group (SKINT), University Centre for Nursing and Midwifery, Department of Public Health and Primary Care, Ghent University, Ghent, Belgium; and Department of Mathematics and Statistics and the Data Science Institute, Faculty of Sciences, Hasselt University, Hasselt, Belgium. Acknowledgments: This work was supported by a competitive grant from the Victorian Medical Research Acceleration Fund, with funding co-contribution from the Department of Nursing at the University of Melbourne, the Melbourne Academic Centre for Health, and Mölnlycke Health Care. This work was also partially supported by the Israeli Ministry of Science & Technology (Medical Devices Program grant no. 3-17421, awarded to Professor Amit Gefen in 2020). The authors thank Ms Carla Bondini for her assistance with data collection and management for this study and Mr Daniel Kapp for proofreading the manuscript. The authors have disclosed no other financial relationships related to this article. Submitted February 1, 2024; accepted in revised form April 16, 2024.
Objective: To develop a generalizable and accurate method for automatically analyzing wound images captured in clinical practice and extracting key wound characteristics such as surface area measurement.
Methods: The authors used image processing techniques to create a robust algorithm for segmenting pressure injuries from digital images captured by nurses during clinical practice. The algorithm also measured the real-world wound surface area.
Multispectral imaging-based detection of apple bruises using segmentation network and classification model.
J Food Sci
January 2025
College of Electronics and Engineering, Heilongjiang University, Harbin, China.
Bruises can affect the appearance and nutritional value of apples and cause economic losses. Therefore, the accurate detection of bruise levels and bruise time of apples is crucial. In this paper, we proposed a method that combines a self-designed multispectral imaging system with deep learning to accurately detect the level and time of bruising on apples.
View Article and Find Full Text PDFAcceptability of multi-level sexual health interventions and sexually transmitted infection screening and testing among persons with HIV across three clinical sites in Florida.
J Acquir Immune Defic Syndr
November 2024
Division of Infectious Diseases and Global Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Introduction: The US state of Florida has the third highest rate of HIV as well as high rates of sexually transmitted infections (STIs) indicating critical HIV and STI prevention needs remain unmet. To address gaps in the STI care continuum in people with HIV (PWH), evidence-based interventions were implemented across three Ryan White HIV/AIDS Program (RWHAP) funded clinics in Florida between August 2020-August 2021. Interventions included comprehensive sexual health history (SHH) taking using audio computer-assisted self-interview (ACASI) software, self-collected extragenital gonorrhea and chlamydia testing, and the introduction of a lesbian, gay, bisexual, transgender, and queer (LGBTQ+) welcoming environment.
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