This study investigates the use of image classification methods to identify eye disorders using fundus images. Ocular can significantly affect a person's quality life, but frequent exams help them early and prevent vision loss. Manual diagnosis, however, take while is prone mistakes made by humans. suggests utilising deep learning automatically from photos. To classify several disorders, such a...

Abstract Automatic speech recognition (ASR) could potentially improve communication by providing transcriptions of in real time. ASR is particularly useful for people with progressive disorders that lead to reduced intelligibility or difficulties performing motor tasks. services are usually trained on healthy and may not be optimized impaired speech, creating a barrier accessing augmented assis...

Background & aim: Congenital heart disease is one of the most common malformations at birth that require timely recognition and treatment. The aim of this study was to determine the prevalence and etiology of detected heart murmurs and association between congenital heart disease and heart murmurs. Recognition of murmurs etiology would help us to manage and treat them properly. Methods: In this...

background gaucher’s disease (g.d.) is an autosomal recessive disorder resulting from the accumulation of glucocerebrosidase in the cells of macrophage-monocyte system as a result of a deficiency in lysosomal glucocerebrosidase. this enzyme is encoded by a gene on chromosome-1. here we report a case of gaucher’s disease .g.d is rare in yazd. case reports we reported a patient that presented wit...