Photobiomodulation Therapy for Neurosensory Disturbances in Orthognathic Surgery Patients: A Systematic Review.

Background: Sensory disturbances and acquired paresthesia constitute a significant proportion of complications following orthognathic surgery. This systematic review examines the application of photobiomodulation (PBM) in managing these complications and its efficacy in promoting sensory recovery.

Methods: In November 2024, a comprehensive digital search was performed across reputable databases, including PubMed, Web of Science, and Scopus, using carefully selected search terms: "orthognathic surgery" AND (physiotherapy OR physical therapy OR laser OR LLLT OR PBM OR light OR LED OR acupuncture) AND (nerve OR neurosensory OR paresthesia).

How learning to read Braille in visual and tactile domains reorganizes the sighted brain.

Learning tactile Braille reading leverages cross-modal plasticity, emphasizing the brain's ability to reallocate functions across sensory domains. This neuroplasticity engages motor and somatosensory areas and reaches language and cognitive centers like the visual word form area (VWFA), even in sighted subjects following training. No study has employed a complex reading task to monitor neural activity during the first weeks of Braille training.

Effectiveness of phentolamine mesylate, vibration and photobiomodulation in reducing pain and the reversal of local anesthesia: A systematic review.

Background: Dental anesthesia administration often triggers unpleasant sensations, particularly needle injection-related pain, which can evoke fear among patients, especially in the pediatric population. Vibration and low-level laser therapy (LLLT) have been extensively studied as potential methods for alleviating pain. Additionally, phentolamine mesylate (PM) has shown promise in reducing the duration of anesthesia.

Association among raised intraventricular pressure, clinical signs, and magnetic resonance imaging findings in dogs with congenital internal hydrocephalus.

Background: Dogs with internal hydrocephalus do not necessarily have high intraventricular pressure (IVP).

Hypothesis/objectives: Not all reported MRI findings indicate high IVP and some clinical signs might be associated with elevated IVP and syringomyelia.

Animals: Fifty-three dogs.

Evaluation of Machine Learning to Detect Influenza Using Wearable Sensor Data and Patient-Reported Symptoms: Cohort Study.

Background: Machine learning offers quantitative pattern recognition analysis of wearable device data and has the potential to detect illness onset and monitor influenza-like illness (ILI) in patients who are infected.

Objective: This study aims to evaluate the ability of machine-learning algorithms to distinguish between participants who are influenza positive and influenza negative in a cohort of symptomatic patients with ILI using wearable sensor (activity) data and self-reported symptom data during the latent and early symptomatic periods of ILI.

Methods: This prospective observational cohort study used the extreme gradient boosting (XGBoost) classifier to determine whether a participant was influenza positive or negative based on 3 models using symptom-only data, activity-only data, and combined symptom and activity data.