A new technique to mark peripheral pulmonary lesions (PPLs) before surgical resection was studied by Ganesh Krishna, M.D., a ...

A new method assesses and improves the reliability of radiologists’ diagnostic reports. The framework helps clinicians choose terms that more accurately reflect the likelihood that certain conditions ...

The clearances include applications intended to assist radiologists in the interpretation and detection of chest X-rays for lung ... Its AI suite, Rayvolve®, enhances X-ray diagnostics, improving ...

For two-dimensional (2-D) Chest X-Ray (CXR) images, 2-D DFT-based convolution is employed to generate features. Traditional multi-stage convolution methods for feature extraction can be slow and ...

From the June/July 2016 issue of our magazine, Heather Stephen learns about the Herbert Protocol, which is speeding up searches for vulnerable people, including those with dementia. Margaret Pigott ...

SAN ANTONIO — If you aren't a smoker, you may think you are out of the woods when it comes to lung cancer. Not only can non-smokers get it, but a new study says the number of non-smokers getting ...

An AI-powered tool for pneumonia detection in chest X-rays using deep learning. Built with MobileNetV3 Small architecture, this application achieves 93% accuracy with fast inference (~45ms/image) and ...

Research from the University of Sheffield analyzed records from more than 170,000 lung cancer patients in England between 2014 and 2018, combined with chest X-ray rates from 7,400 GP practices.

Abstract: Chest X-ray report generation has attracted increasing research attention. However, most existing methods neglect the temporal information and typically generate reports conditioned on a ...