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.

Healthcare AI today: Senate arguments, aging infrastructure, ‘elastic’ jobs, more
States’ rights or federal power? Senate Republicans are of two minds on AI regulation in the One Big Beautiful Bill.
That’s no mere hospital—it’s a ‘complex adaptive system.’ Use GenAI accordingly.
From the perspective of management science, healthcare is a complex adaptive system marked by intricate feedback loops and overlapping interdependencies. As such, the sector demands caution by those introducing large-language AI into its tangled webs.
First AI-enabled POCUS app for detecting pleural effusion and atelectasis earns FDA clearance
The apps are embedded into the Exo Iris transducer, which can be plugged directly into a smartphone, utilized anywhere and without the internet.
Startup seeking to simplify medical imaging referrals raises $101M
Tennr uses an “enterprise orchestration engine” and series of specialized language models, trained on the nuances of processing documentation against payer criteria.
AI model gets helpful heart assessments out of nongated CT scans
"Using AI for tasks like CAC detection can help shift medicine from a reactive approach to the proactive prevention of disease," one researcher said.

Researchers create first 3D image of heart RNA structure

Scientists from New Mexico-based Los Alamos National Laboratory believe their work could pave the way for new strategies in regenerative medicine for heart conditions.

Exploring EMR data reveals effective treatment patterns

Exploring electronic medical records (EMRs) can help healthcare providers learn more about typical treatment patterns for specific situations, according to new findings published in Artificial Intelligence in Medicine.

‘The AI is simply outstanding’: Algorithm spots prostate cancer similarly to expert pathologists

AI trained and tested on more than 8,000 biopsies was nearly perfect at spotting differences in samples with or without cancer.

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.

Artificial Intelligence

Healthcare AI today: Senate arguments, aging infrastructure, ‘elastic’ jobs, more

That’s no mere hospital—it’s a ‘complex adaptive system.’ Use GenAI accordingly.

First AI-enabled POCUS app for detecting pleural effusion and atelectasis earns FDA clearance

Startup seeking to simplify medical imaging referrals raises $101M

AI model gets helpful heart assessments out of nongated CT scans