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Altered Oscillatory Neural Dynamics Related to Word Prediction in Older Adult Readers.
Lang Cogn Neurosci
July 2024
Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, USA.
The engagement of predictive mechanisms during language comprehension can facilitate processing and modulate neural oscillatory activity. These modulations include alpha-band activity decreases prior to expected words, reflecting anticipatory preparation, and frontal theta-band activity following unexpected words, reflecting engagement of cognitive control. It remains unknown how these oscillatory dynamics are impacted by aging.
View Article and Find Full Text PDFA systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities.
Front Artif Intell
January 2025
CONAHCYT-Instituto Potosino de Investigación Científica y Tecnológica, A.C. División de Geociencias Aplicadas, San Luis Potosí, Mexico.
This systematic review provides a state-of-art of Artificial Intelligence (AI) models such as Machine Learning (ML) and Deep Learning (DL) development and its applications in Mexico in diverse fields. These models are recognized as powerful tools in many fields due to their capability to carry out several tasks such as forecasting, image classification, recognition, natural language processing, machine translation, etc. This review article aimed to provide comprehensive information on the Machine Learning and Deep Learning algorithms applied in Mexico.
View Article and Find Full Text PDFCurrent and Emerging Therapeutic Strategies for the Management of Neurotrophic Keratitis.
Drugs
January 2025
Moorfields Eye Hospital, 162 City Road, London, EC1V 2PD, UK.
Neurotrophic keratitis is a rare eye condition characterised by reduced or absent corneal sensation. This leads to impaired corneal healing through a loss of protective mechanisms such as blinking. The cornea becomes vulnerable to persistent epithelial defects, ulceration, infection and ultimately, vision loss or loss of the eye.
View Article and Find Full Text PDFCriterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without walls.
Behav Res Methods
January 2025
School of Psychology, University of New South Wales, Sydney, Australia.
With recent technical advances, many cognitive and sensory tasks have been adapted for smartphone testing. This study aimed to assess the criterion validity of a subset of self-administered, open-source app-based cognitive and sensory tasks by comparing test performance to lab-based alternatives. An in-person baseline was completed by 43 participants (aged 21 to 82) from the larger Labs without Walls project (Brady et al.
View Article and Find Full Text PDFImproved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis.
Acad Radiol
January 2025
Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Im Ergel 1, 5404 Baden, Switzerland (D.H., A.M., R.R., J.H., R.A.K.-H.).
Rationale And Objectives: The aim of this study was to compare the image quality of a deep learning (DL)-accelerated volumetric interpolated breath-hold examination (VIBE) sequence with a standard (ST) VIBE sequence in assessing the uterus.
Materials And Methods: Between April and December 2023, a total of 61 female patients (aged 41 ± 14 years) who were referred for an magnetic resonance imaging (MRI) of the pelvis were included in this prospective study, after providing informed consent. All examinations were performed with a 1.
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