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.

Cardiologs puts its AI model up against the Apple Watch—and wins

The company reported that its deep neural network led to improved sensitivity and fewer unclassified findings.

CT-based AI could be game changer for radiologists assessing invasive, noninvasive cancers

Specifically, the deep learning platform distinguished minimally invasive adenocarcinomas from more deadly varieties.

Behavioral health AI predicts effectiveness of talk therapy

USC’s Signal Analysis and Interpretation Laboratory built the AI model with transcripts from more than 1,100 real conversations with patients.

Radiologist-founded firm using artificial intelligence to alleviate burnout raises $25M

Artis Ventures led Rad AI's Series A financing round, with additional contributions from existing backers including Google's AI-focused investment arm.

Radiologist-backed imaging software firm Sirona Medical balloons fundraising total to $60M

The San Francisco startup is creating a cloud-based radiology operating system it says can unify fragmented IT and simplify workflows.

Imaging disrupter Nanox closes $200M-plus in deals to purchase AI firm, teleradiology outfit

Zebra Medical Vision will fetch $110M at closing, paid in shares of Nanox’s stock, with $84M more available through performance incentives.

Prostate cancer grading and quantification is significantly more accurate with AI-assisted platform

The tool may lead to substantial clinical management benefits for those with the disease, according to a new study in JAMA Network Open.

AI gets $20M infusion to go on the offensive against Alzheimer’s

The new center’s founders say they’ll prioritize addressing healthcare disparities associated with the disease itself and with other types of dementia.

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