The e-Lung score is associated with mortality and a decline in FVC when applied to CT scans at baseline in patients with non-IPF ILD.

The aim of this study is to test whether sex prediction can be made by using machine learning algorithms (ML) with parameters taken from computerized tomography (CT) images of cranium and mandible ...

Severe traumatic brain injury (sTBI) is a significant public health concern with high disability and mortality rates. No reliable diagnostic tools exist to determine surgical indications or predict ...

CSIRO, Australia's national science agency, has developed an advanced artificial intelligence (AI) tool for assisting in the estimation of biological sex from human skulls. A Labrador retriever named ...

The NAEOTOM Alpha utilizes photon-counting detectors that measure each individual X-ray that passes through a patient’s body to create a detailed 3-dimensional image. The Food and Drug Administration ...

This ancient mummy's secrets had remained hidden for 3,500 years, but modern technology recently let researchers peek inside without disturbing it at all. How researchers in Egypt used computerized ...

Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool The best performing model, a Bi-LSTM NER ...

Phase Ib trial of cabazitaxel and tasquinimod in men with heavily pretreated metastatic castration resistant prostate cancer (mCRPC): The CATCH trial. This is an ASCO Meeting Abstract from the 2016 ...

Learn how simulated Computed Tomography (CT) scans can give insight into detectability of defects in critical components.

Most people would categorize computerized tomography (CAT) scans, positron emission tomography (PET) scans, and magnetic resonance imaging (MRI) scans into the same grouping. However, it is important ...