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.

AI tech behind deepfake videos creates bogus imaging results—and it could be big for radiology

Generative adversarial networks (GANs), a fairly new breakthrough in AI, are capable of creating fake images that look incredibly real.

Some robots battling spread of coronavirus may not be needed

Numerous robots have been used by healthcare workers battling the ongoing Wuhan coronavirus outbreak—but is such a precaution always necessary?

Smart insulin patch could ‘revolutionize’ care for diabetes patients

Researchers have developed a smart patch for insulin delivery, publishing their findings in Nature Biomedical Engineering.

Blockchain and AI could improve China’s response to the coronavirus outbreak

Since news first broke of the coronavirus outbreak, China’s government has received a massive number of donations from the public and various healthcare organizations—but the distribution of those donations has been disorganized.

Scientist awarded $250K for AI project slashing MRI read times

A Seattle-based researcher dramatically reduced the time necessary to read a scan from four hours down to seven minutes.

Radiologists must ‘lean in’ to disruption, forge alliances to win in 2020, experts say

Disrupters such as Google and Walmart are turning healthcare upside down, and imaging is no exception.

Is AI biting off more than it can chew in radiology?

One expert believes AI "simply isn't ready" to handle the ever-growing workload many imaging professionals are encountering, sharing his thoughts Feb. 4 in Forbes.

AI rivals radiologists at classifying common hip arthritis—with a few caveats

More than 230 million people are impacted by osteoarthritis across the globe, and that figure is only increasing in the United States as the population grows older.

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