Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Global higher education market is witnessing robust growth, driven by rising demand for digital learning, EdTech adoption, increasing international student enrollment, expansion of online and hybrid ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

In 2025, North America held a dominan market position, capturing more than a 38.6% share, holding USD 0.64 Billion revenue.

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

While urinary organs at risk (OARs) such as the intraprostatic urethra and the bladder trigone are increasingly recognized as associated with severe genitourinary toxicity, their delineation in ...

Abstract: This study systematically reviews the application of deep learning methods for mandibular defect segmentation from computed tomography images, addressing key challenges, progress, and future ...

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

Introduction: Myocardial infarct size (IS) is the most robust endpoint for evaluating cardioprotective strategies in preclinical ischemia/reperfusion studies. The gold standard for IS quantification ...