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.

AAA detection gets boost from commercially available AI algorithm
The opportunistic screening helps identify patients in need of monitoring and/or intervention without disrupting workflows.
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 helps radiologists spot lung tumors, drop false positives

A deep learning software tool powered by artificial intelligence has been proven to boost clinicians’ ability to detect lung cancer on chest x-rays.

More than 25% of students not considering radiology cite AI as the reason why, survey finds

Radiologists, medical students and surgeons all agree that AI should be incorporated into diagnostic radiology, but for the most part their perceptions of the technology are drastically different.

MRI scans help show how our brains are ‘washed’ during sleep

When we go to sleep at night, our brains are wiped clean of harmful toxins. Boston-area researchers now have the evidence to prove it, thanks in part to high-resolution imaging.

AI helps bring voices to the voiceless

At the Voice Preservation Clinic in Boston, researchers are now using AI technology to reconstruct the voices of patients at risk of losing the ability to speak.

RadNet partners with Silicon Valley AI vendor to dramatically boost breast cancer care

The investor-owned, Los Angeles-based provider announced Thursday, Nov. 7, that it’s teaming with Whiterabbit.ai to further spread AI tools across its 340 outpatient centers.

New approach may ‘open avenues’ for deep learning in digital pathology

Deep learning can identify cancerous and precancerous esophagus tissue on digitized pathology slides, opening the door for AI to alter the digital pathology landscape.

Screen time can negatively impact child brain development, MRI scans show

More screen usage can negatively impact the development of children’s brains, particularly regions associated with language development, according to a recent study published in JAMA Pediatrics.

How AI Will Impact the Healthcare Workforce

The American Hospital Association predicts how hospitals will operate when AI and machine learning are on board.

Artificial Intelligence

AAA detection gets boost from commercially available AI algorithm

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