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.

Digital pathology lab deploys ‘world’s 1st’ AI-powered solution for gastrointestinal cancers

Tel Aviv, Israel-based Ibex Medical Analytics earned FDA Breakthrough Device Designation status for its platform recently after publishing promising results in The Lancet Digital Health.

Startup aiming to root out misdiagnoses in radiology raises $25M in new funding

New York-based Covera Health said the Series C financing comes by way of private equity firm Insight Partners, with additional contributions from existing investors.

New AI model predicts heart failure hospitalizations

Detecting heart failure issues early on, one researcher observed, can improve patient care and hospital efficiency at the same time.

Treatable tumor models grown in the lab

The bioprinted replicas can preview a given tumor’s reaction to specific therapies and combinations thereof.

Nanox sees stock slide after FDA finds deficiencies in application for novel imaging system

The Israel-based radiology startup said it plans to respond by the 180-day deadline, but did not indicate whether the rollout of its technology will be postponed.

10 questions clinicians—and patients—ought to ask about every AI they encounter

Technology educators, tech-policy wonks and hospital clinical leaders from three countries have collaborated to produce a helpful guide for end-users of healthcare-specific AI tools—and the patients they serve.

3 noteworthy developments in emerging medical technologies

While big breakthroughs in healthcare AI seem to have slowed in recent weeks, those involving other hot technologies have kept the content coming for publishers of peer-reviewed medical journals.

Deep learning valuable for assessing coronary plaques on CCTA scans

The tool outperformed one board-certified radiologist while rivaling a cardiac specialist with 20-plus years of experience.

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