Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Thumbnail

Combining imaging data, genomic info may increase radiologists’ confidence diagnosing cancer

UCLA radiological experts unveiled their neural network framework in the Journal of Medical Imaging.

Thumbnail

AI model helps clinicians predict post-TAVR infective endocarditis

To build and validate their advanced AI model, researchers explored data from nearly 78,000 TAVR hospitalizations.

Thumbnail

New 3D MRI development captures real-time brain movement in ‘stunning’ detail

Radiologists and other clinicians may use 3D-amplified MRI as a complement to guide their treatment decision-making, according to recently published research papers.

Thumbnail

Artificial intelligence may not upend radiology until 2030s, noted Google AI expert predicts

Leaders in the space shared their predictions for imaging AI during a panel hosted by the Stanford Institute for Human-Centered Artificial Intelligence. 

Thumbnail

Advanced MRI uncovers neurological insights in patients with Down syndrome

The results support using magnetic resonance imaging biomarkers to study drug-based approaches for enhancing cognitive function.

Total knee AI/AR cleared for sales in the US

The FDA has granted 510(k) clearance to a French startup for surgery software that combines AI with augmented reality and computer vision.

Thumbnail

Researchers develop a ‘significant breakthrough’ in magnetic resonance imaging

The new rapid hyperpolarization technique could more accurately image kidney injuries, the effects of a heart attack, and much more.

Thumbnail

ACR strengthens focus on AI development through new collaboration with the National Cancer Institute

The move will give creators a one-stop shop for robust radiology data, including DICOM images to train and test their models.