New recommendations from the American College of Cardiology detail how intravascular imaging can help clinicians before, during and after PCI procedures. 

A new analysis compared the results of 39 published studies and nearly 50,000 patient cases to rank the performances of six different thyroid nodule stratification systems.

Using risk model-based strategies to determine who should undergo low-dose CT lung cancer screening is more cost effective than current U.S. Preventive Services Task Force guidelines.

The newly approved software uses artificial intelligence to provide users with real-time feedback related to image quality.

The role of non-physician practitioners will inevitably continue to grow in healthcare, but how will their presence impact radiology?  

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.

The data, published in Clinical Imaging, reveal that more than 20% of respondents have witnessed scientific fraud within their department and more than 85% reported the issue of publication bias. 

The human author reviewing the article wrote about the benefits and inherent risks of utilizing AI in a medical publication setting, concluding that, overall, it could be “a powerful tool” used in the future of medical publishing—when used with caution.