Artificial Intelligence

Researchers have developed a deep learning (DL) model that assesses a woman’s five-year cancer risk with a single breast MR image, sharing their findings in the American Journal of Roentgenology.

Artificial intelligence (AI) can assess thoracic disease findings in chest x-rays with higher accuracy than radiologists, according to research published in JAMA Network Open. The same algorithm can also improve reader performance when utilized as a second reader.  

A convolutional neural network (CNN) can differentiate between benign and malignant breast masses on ultrasound images with high accuracy, according to new research published in the Japanese Journal of Radiology.

CureMetrix, a La Jolla, California-based healthcare technology company, has received FDA clearance for its new AI-based triage software solution for mammography.

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.