Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation

Introduction: Chronic ulcers significantly burden healthcare systems, requiring precise measurement and assessment for effective treatment.Traditional methods, such as manual segmentation, are time-consuming and error-prone.This review evaluates the potential of artificial intelligence AI-powered mobile apps for automated ulcer segmentation and the

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Toxic Assessment of Heavily Traffic-related Fine Particulate Matter Using an in-vivo Wild-type Caenorhabditis elegans Model

Abstract In association with the mortality rate due to air pollution, vehicular emitted fine particles (PM2.5) are a threat to public health.PM2.5-induced in-vivo studies on environmental microorganisms can be used to assess the adverse impacts of PM2.5 on human health.In the present study, the toxicity of traffic-related-air-pollutant (TRAP) PM2.5

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