The HOPPR Marie Curie Chest Radiography Model enables partners to fine-tune and deploy binary classifiers for chest X-ray images using their own data with API access, structured outputs, and usage ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Diagnosing heart disease Left: chest radiograph from the test dataset. Right: overlaid saliency map showing the grounds for the deep-learning model’s evaluation of cardiac function. (Courtesy: Daiju ...

Predicting risk Using a routine chest X-ray, the deep-learning model predicts future major adverse cardiovascular events with similar performance to the established clinical standard. (Courtesy: RSNA) ...

A recent Lancet Healthy Longevity study developed an AI model, based on deep learning methods, to determine the age of individuals by analyzing their chest radiographs. Study: Chest radiography as a ...

Please provide your email address to receive an email when new articles are posted on . AI model lung function estimations agreed with spirometry. With the model, there were high area under the ...

Most freezers come in at least three sizes. Our lab tests have surfaced the best model across each size. Most freezers can operate in a room where the temperature can reach up 110° F, but check ...

Myocardial ischemia, a disorder associated with high rates of morbidity and mortality, is one of the most extensively studied topics in modern cardiovascular research. The condition is characterized ...

David had a curved metal bar attached to both sides of his rib cage to force the bones back into their correct position A LAD with a ‘caved in’ chest endured excruciating corrective surgery by having ...