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.

‘Why not change the world?’: Grant will fast-track AI tools for screening high-risk COVID cases

The algorithms will analyze various pieces of information, including CT images and vital signs, to help clinicians determine disease severity and predict patient outcomes.

Researchers move closer to a blood test for Alzheimer’s, replacing costly PET scans

The findings will also propel research studies into new treatments and help diagnose patients with dementia.

Israeli AI startup claims it’s the first to receive FDA clearance across 3 imaging modalities

The latest comes for Zebra Medical's HealthMammo algorithm, which helps radiologists pinpoint and prioritize suspicious breast images.

‘Revolutionary’ AI-powered digital pathology algorithm customizes cancer care.

Such a tool can have a variety of uses, from personalizing treatments to addressing workforce shortages.

$17.5K up for grabs in online blockchain hackathon with COVID in its sights

A blockchain startup headquartered in the British Virgin Islands is organizing a global, healthcare-specific online hackathon with a prize pool of 15,000 euros, or around $17,500.

NIH awards $15M grant for brain imaging, additional research into lupus

The Feinstein Institutes for Medical Research, part of healthcare giant Northwell Health, hopes the funding can help the nearly 1.5 million Americans affected by this autoimmune disease.

AI assesses cervical cancer disease spread, potentially sparing patients unnecessary surgery

Given that the disease is one of the most common cancers among women, these results may help personalize care plans and avoid invasive options for many struggling with treatment decisions, experts wrote in JAMA Network Open.

AI-based lung infection score triages COVID-19 patients, predicts near-term needs

Massachusetts General Hospital doctors say their automated pulmonary x-ray severity-scoring algorithm can help radiologists optimize pandemic workflows and manage critical resources, such as ventilators.

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