Validity Analysis of Monocular Human Pose Estimation Models Interfaced with a Mobile Application for Assessing Upper Limb Range of Motion.

Human Pose Estimation (HPE) is a computer vision application that utilizes deep learning techniques to precisely locate Key Joint Points (KJPs), enabling the accurate description of a person's pose. HPE models can be extended to facilitate Range of Motion (ROM) assessment by leveraging patient photographs. This study aims to evaluate and compare the performance of HPE models for assessing upper limbs ROM.

Prevalence of sensory impairments and its contribution to functional disability in individuals with acute stroke: A cross-sectional study.

Background: Although the literature suggests high prevalences of sensory impairments after stroke, the independent contribution of sensory modalities to functionality needs further investigation.

Objective: To identify the prevalence and characterize the sensory impairment in adults with stroke and to verify the contribution of proprioceptive and exteroceptive impairments to their functional disability.

Methods: Exploratory cross-sectional study conducted in a hospital stroke unit.

A PCR-Based Approach for Early Diagnosis of Head and Neck Aspergillosis: A Pilot Study.

Background: Aspergillosis is a fungal disease caused by the inhalation of fungal spores of the genus spp. This fungus mainly affects the lungs but can spread and infect the maxillofacial region through the bloodstream or inoculation of the fungus after extraction or endodontic treatment, especially in the upper posterior teeth. The disease has nonspecific clinical manifestations that hinder its early diagnosis.

Contextual and clinical factors as explainers of stroke severity, residual motor impairments, and functional independence during hospitalization.

Objective: To investigate if contextual and clinical factors would explain stroke severity, residual motor impairments, and functional independence in people with stroke during hospitalization.

Materials And Methods: This cross-sectional study retrieved data from medical records between January 2014 to December 2021. Explanatory independent variables were contextual (sex, age, marital status, occupation, and local of residence) and clinical (stroke type, length of hospital stay, and cognitive function) factors.