A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

Award-winning presentation recognizes AI-CVD-HF heart failure prediction model leveraging coronary artery calcium (CAC) scans HONG KONG, January 27, 2026 /EINPresswire.com/ — HeartLung AI announced ...

BENGALURU: Despite Bengaluru being the IT capital of India, industry experts, whose companies are based in the city, are ...

About a decade later, the U.S. Preventive Services Taskforce (USPSTF) issued updated guidelines recommending annual screening for lung cancer with low-dose CT for adults ages 50 to 80 years with a 20 ...

Throughout a person's lifetime, the cells lining the respiratory tract are exposed to inhaled pollutants, including cigarette smoke. These exposures can cause molecular changes that disrupt normal ...

The FDA has cleared RevealDx’s AI-powered lung nodule risk assessment software, RevealAI-Lung, according to a company press ...

University of Pennsylvania Perelman School of Medicine and Yale University School of Medicine, along with other collaborators, report that lung adenocarcinoma can engage nerve pathways that link the ...

An AI-led study in The BMJ flags nearly 10 per cent of global cancer research papers as potentially fake, raising alarms about paper mills and the integrity of cancer science worldwide ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

This novel approach integrates diverse types of information by combining clinical parameters with imaging techniques like CT scans or laboratory data.

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

A new imaging breakthrough combines ultrasound and light-based techniques to generate vivid 3D images that show both tissue ...