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.

Machine-learning algorithm detects osteoarthritis prior to development

A machine-learning algorithm can predict the onset of osteoarthritis on MRI scans taken years before symptoms begin.

FDA’s new digital-health ‘center of excellence’ shows the shape it will take

The FDA has an eye trained on healthcare AI as it establishes a major operation to help advance the state of the art across digital health.

Drones deliver AEDs in times of need

In some instances, the drone helped get an AED on the scene nearly three minutes faster than normal.

RapidAI raises $25M; Sectra signs top health systems; conference shelved, plus more radiology vendor news

Also, MITA warns FDA about inappropriate cleaning of imaging systems and Fujifilm partners with the CHEST Foundation.

Imaging-based AI ‘unlikely to replace the integrative reasoning and judgment of an astute physician’

Not only can different lung diseases look much the same in chest imaging, but distinct diagnoses may present widely dissimilar image patterns in the same patient at the same timepoint, too.

Is AI the Key to Getting a Handle on Data?

More data might sound like a good thing but, from a clinician’s point of view, too much of it could defeat the purpose of gathering it.

Israeli artificial intelligence vendor Aidoc raises another $20M, triples revenue

This latest investment balloons the radiology vendor’s fundraising total to $60 million, officials announced recently.

Stanford researchers: AmI offers an ‘extraordinary opportunity to illuminate the dark spaces of healthcare’

Crossing machine learning with low-cost infrared sensors, AI developers are pushing the envelope on ambient intelligence, or AmI, for use in healthcare.

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