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.

Imaging tech startup led by Apple alumni raises $9M, hires radiologist as new CMO

San Francisco-based Braid Health, which creates artificial intelligence tools for rads, just announced its latest cash infusion.

Students design new face mask that monitors vital signs

A group of students at Cornell University has developed a new face mask design that monitors the wearer’s vital signs.

University announces healthcare AI ‘cluster hires’

“Artificial intelligence in precision medical imaging and diagnostics” is among several areas of concentration for which the University of Wisconsin-Madison will be making cluster hires over a period of at least two years.

Blood-brain barrier vs. focused ultrasound with MRI guidance

Researchers at the University of Virginia are exploring ways to break through the blood-brain barrier using MRI-guided focused ultrasound.

Babylon launches AI-powered healthcare app to help New Yorkers

Babylon is partnering with Mount Sinai Health Partners to bring its AI-powered digital healthcare solution to New York.

Ultromics Develops World-First AI Technology That Can Predict Heart Disease

EchoGo Pro is able to deliver heart disease prognosis to hospital sites through its secure cloud system, built in partnership with the NHS, based on thousands of past clinical exams.

RSNA, neuroradiologists assemble largest-ever set of brain hemorrhage CT images through AI challenge

The society recently announced this “unprecedented collaboration,” which was made possible by the help of 60 physician volunteers and a fellow imaging interest group.

Mayo Clinic lines up AI innovation partner to help fight COVID-19

A supplier of remote patient monitoring technology is working with the Mayo Clinic to speed up diagnosis of COVID-19 and predict its course in stricken patients using AI.

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