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.

MRI reveals brain volume abnormalities in schizophrenia, other mental illnesses

Researchers from around the world pooled together imaging data on patients with a rare genetic condition to create the largest neuroimaging study of DiGeorge syndrome.

Meet the robot that draws blood better than humans

In the near future, patients may have their blood drawn and tested by an advanced robot—and it’s a move that would benefit both patients and healthcare providers.

New MR approach could revolutionize Alzheimer’s research, diagnosis

Magnetic resonance texture analysis is part of a growing field that uses math to detect changes in imaging signals, and could be used to develop neuroimaging biomarkers to better understand the disease.

Getting more eyes on mammograms bolsters cancer care—and they don’t need to be human, experts say

Discussing discordant findings on breast cancer screening exams improves care, and international experts believe the U.S. should reconsider its "single-reader paradigm," they wrote in Radiology.

Artificial intelligence bolsters radiologists’ ability to pinpoint breast cancer

South Korean researchers recently tested the clinical tool in a retrospective study of more than 170,000 mammography exams.

Blockchain-managed healthcare records? Patients love it, physicians are skeptical

Blockchain technology is starting to gain popularity in the healthcare industry due to its ability to keep data safe and secure. So what do physicians and patients think about this growing trend?

4 key ways blockchain can help health systems

Healthcare researchers are focusing more and more on the potential benefits of blockchain technology, a trend explored by the authors of a new analysis in the International Journal of Medical Informatics.

UK researchers use holograms to train future interventional radiologists

Experts at Imperial College London are using Microsoft HoloLens2 to help students perform CT-guided biopsy.

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