COMPUTER-AIDED detection chest X-ray demonstrated diagnostic performance comparable to experienced radiologists for pulmonary tuberculosis in low-resource, high-burden settings, according to a ...

Convolutional neural networks have been applied widely in chest X-ray interpretation thanks to the availability of high-quality datasets. Among them, VinDr-CXR is one of the latest public datasets ...

When people talk about radiation exposure – especially from flying – they often reach for a familiar comparison: the chest X-ray. Government agencies, pharmaceutical companies, and doctors might state ...

Morton Kern, MD, often engages his colleagues via email in brief, informal dialogue on clinically relevant topics in cardiology. Morton Kern, MD, of VA Long Beach Healthcare System and University of ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

Seoul National University Hospital researchers have come up with an AI model that can both classify and explain bone densities in chest X-ray images. The research team collected data from ...

The COVID-19 pandemic and current global health challenges such as pneumonia have reinforced the urgent need for accurate and rapid diagnostic solutions. Chest X-ray is a readily availablemodality for ...

The 44-year-old man had been involved in a "violent altercation" where he received first-aid to close his wounds National Library of Medicine A 44-year-old man from Tanzania sought medical care after ...

Introduction Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacillary disease, non-specific symptoms and signs and challenges in microbiological confirmation. Chest X ...