What do patients think about the use of artificial intelligence (AI) in radiology? A new study published in the Journal of the American College of Radiology addressed that very question.

Artificial intelligence (AI) systems can achieve a cancer detection accuracy similar to that of an average breast radiologist, according to new findings published by the Journal of the National Cancer Institute.

Researchers have developed a new convolutional neural network (CNN) that can predict the presence of breast cancer with the accuracy of an experienced radiologist. 

Most researchers exploring the performance of artificial intelligence (AI) in radiology aren’t validating their results, according to a new study published by the Korean Journal of Radiology.

Artificial intelligence and radiomics can help specialists predict how patients with non–small cell lung cancer (NSCLC) will respond to chemotherapy, according to new research published in Radiology: Artificial Intelligence.

Verily and Google have launched a new program that brings machine learning-powered screening for two diabetic eye diseases to patients in India.

Several imaging societies, including the American College of Radiology (ACR) and European Society of Radiology, have published a consensus draft document focused on the ethics of AI in radiology.

Zebra Medical Vision, a Shefayim, Israel-based medical imaging analytics company, announced that it has received CE certification for two AI-based algorithms aimed at improving care in the emergency department (ED).

[Expert Roundtable Video Series] Sitting atop the biggest biobank with whole exome (DNA) sequence data in existence, Geisinger Health System is bringing complex algorithmic concepts to everyday patient care and showing others the path forward. Register to see how data, imaging & genomics are driving actionable decision-making.