A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in Radiology. The findings of the study could have important implications for lung ...

Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

OAK BROOK, Ill. – A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a ...

Artificial intelligence (AI) deep learning combined with patient imaging data is opening a new world of possibilities for medical clinicians and researchers, especially in neuroscience. A new study ...

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI ...

In a recent study published in Fundamental Research, researchers propose a novel interpretable neural network model, MULGONET, based on multi-omics information analysis by deep learning to predict ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

Model and clinical segmentation examples. (A) 71-year-old female with non-small cell lung cancer (NSCLC) from the internal test set. (B) 87-year-old male with NSCLC from the external test set. Both ...

A team of researchers have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a new study. A team of ...