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| http://dx.doi.org/10.3389/fphys.2021.668267 | DOI Listing |
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Development and Validation of a Machine Learning Model for Detection and Classification of Vertigo.
Laryngoscope
December 2024
Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Article Synopsis
- This study explores the use of artificial intelligence to enhance the diagnostic accuracy of diseases related to vertigo, focusing on two main tasks involving classification of BPPV and non-BPPV patients.
- Leveraging machine learning, specifically the XGBoost model, the researchers achieved high sensitivity and accuracy rates in distinguishing between various vertigo conditions in a cohort of nearly 3,000 patients.
- The findings suggest that implementing such AI systems can significantly improve diagnostic processes and aid clinical decision-making, especially in settings with limited resources.
Home Automated Telemanagement System for Individualized Exercise Programs: Design and Usability Evaluation.
JMIR Biomed Eng
December 2024
Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.
Background: Exercise is essential for physical rehabilitation, helping to improve functional performance and manage chronic conditions. Telerehabilitation offers an innovative way to deliver personalized exercise programs remotely, enhancing patient adherence and clinical outcomes. The Home Automated Telemanagement (HAT) System, integrated with the interactive bike (iBikE) system, was designed to support home-based rehabilitation by providing patients with individualized exercise programs that can be monitored remotely by a clinical rehabilitation team.
View Article and Find Full Text PDFAn objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge.
Med Image Anal
January 2025
Centre Hospitalier Universitaire de Clermont-Ferrand, Clermont-Ferrand, France; Endoscopy and Computer Vision Group, Université Clermont Auvergne, Clermont-Ferrand, France.
Article Synopsis
- Augmented reality in laparoscopic liver surgery helps surgeons pinpoint tumors and vessels by overlaying them onto live images, using preoperative 3D models from imaging data.
- The Preoperative-to-Intraoperative Laparoscopic Fusion challenge (P2ILF) at the MICCAI 2022 conference aimed to automate the detection of anatomical landmarks to improve this overlaying process, addressing time-consuming manual errors.
- Six teams from four countries participated, focusing on deep learning for landmark segmentation and differentiable rendering for image registration, achieving varying success in segmenting 2D and 3D landmarks during the challenge.
Brain activation in older adults with hypertension and normotension during standing balance task: an fNIRS study.
Front Aging Neurosci
September 2024
Department of Rehabilitation Medicine, The Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Article Synopsis
- Hypertension (HT) affects older adults' balance and cerebral cortex function, leading to potential fall risks, with unclear neural mechanisms.
- This study compared balance control and brain activation in 27 older adults with HT and 30 with normal blood pressure across different standing tasks.
- Findings indicated that while center of pressure (COP) movement in HT patients was less dynamic when challenged, their cortical activity was significantly lower, suggesting that brain function may be a better indicator of balance issues in this population than COP alone.
Age and familiarity effects on musical memory.
PLoS One
July 2024
Division of Community Health and Humanities, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.
Background: A common complaint in older adults is trouble with their memory, especially for new information. Current knowledge about normal aging and changes in memory identify a divide between memory tasks that are unaffected by aging and those that are. Among the unaffected are recognition tasks.
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