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

RSNA launches new program to certify radiologists in artificial intelligence

The Imaging AI Certificate will allow rads to work at their own pace, covering everything from AI basics and workflow improvements to how algorithms are built and programmed.

Thumbnail

Registration now open for RSNA 2021 in Chicago following COVID-19 hiatus

The world’s largest medical imaging conference will return to Chicago's lakefront on Sunday, Nov. 28, after the pandemic forced its in-person cancellation in 2020. 

Coronary CT imaging artificial intelligence firm HeartFlow to go public in $2.4B deal

The Redwood City, California, company uses CCTA images to create personalized 3D models of the heart and sees a potential $50B market for its products following the transaction.

Explainable AI’s pros ‘not what they appear’ while its cons are ‘worth highlighting’

Not so fast with explainable AI in healthcare, warns an international and multidisciplinary team of academics.

Thumbnail

Successful AI in radiology and beyond requires a new standard for legal liability

Updating the imaging standard of care to include artificial intelligence as a second reader is one solution that takes some burden off individual physicians.

Thumbnail

Radiologist-founded imaging lab specializing in artificial intelligence sold for $80M

First launched in 2010 by physicians with Texas Radiology Group, Intrinsic Imaging provides services in support of clinical and medical device trials. 

AI experts to med students: Don’t compete with the machine. Collaborate with it

As machine learning progresses from research settings to clinical practice, how are clinicians to know they can trust the machine’s conclusions to guide care for actual patients?

Thumbnail

RSNA, other medical imaging groups launch brain tumor artificial intelligence challenge

Winners of the 10th annual Brain Tumor Segmentation challenge will be recognized at the AI Showcase Theater during RSNA 2021.