Uterine fibroids, or leiomyomas, present diagnostic challenges due to symptom overlap with rare but aggressive leiomyosarcomas. Standard imaging tools such as ultrasound and MRI often fail to ...

Roshan Kenia presented a poster on how AI-CNet3D enhances glaucoma classification using cross-attention networks while ...

Several featured studies demonstrate how AI systems are outperforming conventional diagnostic protocols, particularly in ...

A sealed Herculaneum scroll yields its secrets—revealing a lost philosophical treatise by Philodemus through virtual ...

Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) ...

A new study in Engineering details the development of a wearable stethoscope with a Lung–Sound–Monitoring–Patch (LSMP). It can monitor lung sounds in ...

Matrox Imaging offers Design Assistant and MIL libraries to help enable rapid development with flowchart-based programming ...

In a groundbreaking achievement, published in the journal PLOS One, researchers have identified the author and title of an ...

Our method leverages 3D video recordings of infants ... These data are modeled using adaptive graph convolutional networks (AAGCNs), able to capture the spatio-temporal dependencies in infant ...

Based on the deep learning method, the convolutional neural network model is used to extract the newly produced 3D feature to achieve load identification in this paper. The results indicate the new 3D ...