Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

Recent advances in microscopy have been profoundly influenced by the integration of deep learning techniques, heralding a new era in imaging science. This interdisciplinary field combines innovative ...

Researchers have developed a method that leverages artificial intelligence to ensure accurate heart scans without added radiation or cost. Coronary artery disease is the leading cause of death ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

The company releases the most comprehensive imaging analytics platform on the market, to assist physicians and healthcare providers in providing better care SHEFAYIM ...

In PhotoniX, researchers report a self-supervised deep learning method that denoises dynamic fluorescence images in vivo without requiring clean training data. The figure shows in vivo venule images ...

China: A new study published in Academic Radiology suggests that deep learning –based image reconstruction significantly ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques. This approach aims to provide more accurate assessments of body ...

Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through ...

MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...

Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...