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.

Robotic cancer surgeries associated with lower OOP costs

Robotic surgeries are associated with lower out-of-pocket (OOP) costs and total payments than traditional procedures, according to new research published in JAMA Network Open.

AI turns low-quality brain scans into ‘super resolution’ MRIs

Experts believe their approach will allow specialists to pinpoint brain-related pathologies—such as physical injuries, cancer or language disorders, among other things—with improved accuracy.

NIH awards $725K grant to detect neonatal brain injury using photoacoustic imaging

Kamran Avanaki, PhD, will use the money to continue developing a point-of-care, 3D neonatal imaging system.

Radiology AI company Zebra Medical names new CEO, eyes expansion

Ohad Arazi will assume the role of chief executive at the Israel-based company on March 1, replacing co-founder Eyal Gura.

PET imaging reveals weakened brain connections in schizophrenia patients

The findings may offer new targets for researching and treating patients with the condition.

Researchers awarded $1.2M to study effects of AR-based medical training

Researchers from the University of California Irvine (UCI) School of Medicine have received $1.2 million to study the potential psychological impact of augmented reality (AR) medical simulation training.

Can VR play a valuable role in medical imaging training?

Students can use virtual reality (VR) training to learn about radiographic hand positioning skills, according to a new study published in Radiography. How would this compare to other training techniques?

FDA clears artificial intelligence package to help radiologists speed up stroke diagnosis

This is the fourth such approval for Tel Aviv, Israel-based Aidoc, which now offers a full package of AI tools to allow for quicker identification of the event.

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