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.

2 hospitals unleash AI innovations against COVID-19

Tampa General Hospital in Florida has admitted three patients with COVID-19. Halfway around the world, Sheba Medical Center in Israel has seen 40. Both expect exponential increases—and both are using new AI applications to respond.

AI extracts imaging data to predict lung cancer treatment response

“With AI, cancer imaging can move from an inherently subjective tool to a quantitative and objective asset for precision medicine approaches," Columbia University Irving Medical Center radiologists wrote Friday.

ACR outlines 10 priorities to steer federal oversight of artificial intelligence

The college shared high-level principles in its comments submitted to the White House Office of Management and Budget, emphasizing validation, transparency and safety.

AI helps radiologists distinguish coronavirus from community-acquired pneumonia in chest CT

The COVID-19 Detection Neural Network—or COVNet for short—scored high marks in sensitivity and specificity, experts reported in Radiology.

AI draws on pathologists’ wisdom to improve cancer diagnoses

"We showed it is possible using this approach to get incredibly encouraging results if you have access to a large archive," said experts from the University of Waterloo in Ontario, Canada.

NIH awards $6M grant for noninvasive brain scan helmet

Sandia National Laboratories will use the award to create a wearable magnetoencephalography brain imaging prototype.

Artificial intelligence-powered lung imaging analysis firm raises $11M in funding

Vida Diagnostics said this round of financing comes by way of venture capital firm First Analysis.

White House asks tech giants for help with coronavirus

The White House has met with representatives from Amazon, Google, Facebook and other massive tech companies to see how advanced technology could help the United States slow down the spread of the new coronavirus.

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