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.

FDA requests feedback on 3D printing of medical devices at the point of care

The agency is hoping to "foster discussion and solicit feedback from the public" on this important topic.

Advanced 3D imaging uncovers insights about prostate cancer aggressiveness

University of Washington in Seattle researchers plan to perform larger clinical studies that they believe will benefit many other patients.

Radiology research activities down markedly during pandemic, RSNA COVID-19 task force says

The data can help department leaders better understand “discontinuity” in staff productivity and inform promotion considerations.

New hope for ‘mechanically dynamic’ tissue that’s been damaged

Mechanical engineers have developed injectable hydrogels that can fuse with frequently moving tissues—like those of the heart, muscles and vocal cords—to repair damage and restore function.

Printed ‘skin’ hastens healing, lessens scarring

Researchers have demonstrated the 3D bioprinting of artificial human skin so lifelike it can quickly fuse with damaged tissue from the surface (epidermis) through the midlevel (dermis) and into the underlying fatty layer (hypodermis).

‘Important step forward’: Automated echo scores vary less than sonographers’ measurements

This study brings light to the prospect of a "fully automated solution" for echocardiogram analysis, experts reported.

New machine learning model double-checks its own work for unpredictability on breast cancer imaging

Experts noted a "significant" reduction in false positives and false negatives using their modified machine learning model.

Nuance launches ‘Precision Imaging Network’ providing AI first reads to relieve overburdened docs

The platform runs on Azure, a cloud computing service operated by Microsoft, which recently announced plans to acquire Nuance for $20B.

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