Now, rising to the challenge, an Arizona State University team of researchers has built a powerful new AI tool, called Ark +, ...

Now, rising to the challenge, an Arizona State University team of researchers has built a powerful new AI tool, called Ark +, ...

This guideline is based on a comprehensive review of the literature on pulmonary nodules and expert opinion. Although the management pathway for the majority of nodules detected is straightforward it ...

When Paul Tafforeau saw his first experimental scans of a COVID-19 victim’s lung, he thought he had failed. A paleontologist by training, Tafforeau had been laboring with a team strewn across ...

Rationale Surgeries that require one-lung ventilation have high rates of postoperative cardiopulmonary complications with associated morbidity and mortality. Statins may limit inflammation involved in ...

Chest pain is the second most common reason for adults to present to an emergency department in the United States, accounting for >7 million visits annually. 2 Although noncardiac causes of chest pain ...

Lung cancer is a major cause for cancer-related deaths. The detection of pulmonary cancer in the early stages can highly increase survival rate. Manual delineation of lung nodules by radiologists is a ...

However, the relationship between chest X-rays and fatty liver disease has rarely been a subject of in-depth study. Therefore, a research group led by Associate Professor Sawako Uchida-Kobayashi and ...

The use of Chest radiograph (CXR) images in the examination and monitoring of different lung disorders like infiltration, tuberculosis, pneumonia, atelectasis, and hernia has long been known. The ...

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications, such as cirrhosis ...

Researchers in Japan created an AI that can detect fatty liver disease from ordinary chest X-rays—an unexpected and low-cost method that could transform early diagnosis. The model proved highly ...