Artificial Intelligence

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

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.

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.

Deep Medicine, a new book from cardiologist Eric Topol, MD, explores the evolving relationship between artificial intelligence (AI) and healthcare. The New York Times interviewed Topol about the book, and AI’s impact on radiology was one of the first topics that came up.

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 (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.

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).

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced that its AI-based solution for improving pulmonary embolism (PE) workflow has received CE certification.

Researchers have developed new AI models that can predict when atypical ductal hyperplasia (ADH) breast lesions will be cancerous, publishing their findings in JCO Clinical Cancer Informatics.

A new AI algorithm developed by researchers at the University of Alberta in Edmonton, Alberta, Canada, can identify lung tumors from MRI scans faster than other advanced methods.