Artificial Intelligence

Various companies are working with the National Health Service (NHS) in England to see if their artificial intelligence (AI) technology can identify signs of breast cancer as well as radiologists, according to a report from the Financial Times. 

How significant is the hype surrounding artificial intelligence and machine learning in radiology? According to new market research from Reaction Data, 77 percent of imaging professionals said they think machine learning is important when asked about it in 2018, up from 65 percent in 2017.

Quantib, a medical technology company based out of Rotterdam, the Netherlands, has received FDA clearance for its Quantib Neurodegenerative (ND) solution.

Researchers have successfully used two different machine learning algorithms to predict three common symptoms—sleep disturbance, anxiety and depression—experienced by cancer patients undergoing chemotherapy. The team's findings were published in PLOS One.

Artificial intelligence (AI) technologies have the potential to help radiologists demonstrate their value by establishing stronger emotional connections with patients, according to a new analysis published in the American Journal of Roentgenology.

Aidoc and the American College of Radiology Data Science Institute (ACR-DSI) are now helping artificial intelligence (AI) researchers track the performance of various algorithms with an assist from Nuance's PowerScribe Workflow Orchestration platform. 

Artificial intelligence (AI), especially machine learning (ML), is destined to play a key role in the future of interventional radiology (IR), according to the authors of a new study published in the Journal of Vascular and Interventional Radiology.

A convolutional neural network (CNN) can detect and measure cerebral aneurysms in magnetic resonance angiography (MRA) images, according to findings published in the Journal of Digital Imaging.

As machine learning (ML) continues to play a larger role in radiology, it is crucial for future generations of radiologists to receive proper training that helps them participate in its development and implementation, according to a new analysis published in the Journal of the American College of Radiology.

iCAD has received FDA clearance for its ProFound AI solution, which uses artificial intelligence (AI) to help radiologists detect cancers in digital breast tomosynthesis (DBT) images.

Subtle Medical, a Menlo Park, California-based medical device startup, has received FDA clearance for its SubtlePET solution, which uses artificial intelligence (AI) to enhance medical images.

Artificial intelligence (AI) and blockchain are two titanic trends driving the future of medical imaging, according to an in-depth analysis published in the Journal of the American College of Radiology. The study’s authors also assessed other trends that continue to gain momentum.