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.

Radiology societies urge caution when implementing AI in pediatric imaging
Six professional organizations including the Society for Pediatric Radiology made their case in a joint statement published across multiple medical journals Nov. 25.
Coalition of 36 AGs rejects Congressional push to bar states from regulating AI
The bipartisan group of attorneys general is pushing back against Congressional plans to bar states from regulating AI, machine learning and large language models.
AI helps experts 'see' stress on routine CT scans
It has been well established that chronic stress can affect an individual both physically and psychologically but measuring its impact objectively has remained a challenge.
Special note from the editor
We’re moving, but we’re not going far.
Healthcare AI today: AI succeeds Hippocrates, Amazon looms large, 2026 predictions begin
The largest healthcare system in the Middle East is partnering with Nvidia to decode the human genome. If successful, the AI-heavy project will translate almost the entire language of heredity into actionable information.

Radial 3D approach improves quality of head and neck images

Achieving a quality MRI of a patient’s head is difficult, but a radial gradient-recalled echo imaging protocol is a step in the right direction, researchers wrote Jan. 8 in the American Journal of Roentgenology.

Bring on the Bots: Introducing AI into the Revenue Cycle

As costs continue to rise, healthcare organizations must become more efficient with collecting, says Anthony Cunningham, MBA, vice president of Patient Financial Services at Wake Forest Baptist Health. One approach, he explains, is deploying staff away from repetitive tasks and “toward high-value-add work.” That’s where artificial intelligence comes in.

Machine learning screens for obstructive CAD, reduces unnecessary imaging

By combining AI with coronary artery calcium scoring and other cardiac measurements, the team would have prevented 73 unnecessary scans.

Researchers develop new robotic device for spinal cord injuries

A new robotic device is capable of helping people with spinal cord injuries (SCIs) sit more stably and comfortably, according to new research published in Spinal Cord Series and Cases.

System combining laser imaging, AI may make cancer operations safer and more effective

The new approach can diagnose brain tumors similarly to humans, but in a fraction of the time.

How VR can encourage more adults to get their flu shots

Virtual reality (VR) simulations could help improve flu vaccination rates, according to new findings published in Vaccine.

VR making a big impact on palliative care

Healthcare providers are starting to use virtual reality (VR) headsets more and more for patient care, providing moments of escape for individuals who need them the most.

Google AI model ‘impressive’ in detecting breast cancer, besting radiologists

The tech company has been working alongside Northwestern University and several U.K. institutions for years to develop the model.

Artificial Intelligence

Radiology societies urge caution when implementing AI in pediatric imaging

Coalition of 36 AGs rejects Congressional push to bar states from regulating AI

AI helps experts 'see' stress on routine CT scans

Special note from the editor

Healthcare AI today: AI succeeds Hippocrates, Amazon looms large, 2026 predictions begin