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.

American Medical Association approves 1st artificial intelligence CPT code specific to radiology

The "industry milestone" will help radiologists spot incidental vertebral compression fractures during chest CT exams.

Combining DBT with AI-based support may be key to cost-effective breast screening programs

Radiologists' reading performance significantly improved with technological support, researchers reported in Radiology.

10 robots for cranial neurosurgery on the market or in the works

The authors concentrate on robotic technologies that either augment a surgeon’s movements or simplify a multistep process.

Oversight agency says nationwide variation in quantitative MRI scanners requires tighter control

This advanced MRI technique is currently only used for research purposes and experts believe the inconsistencies they've uncovered are one reason why.

Cheers! AI augments hearing aids with virtual microphones ‘mounted’ on the forehead

The experimental approach delivers a more natural sound by correcting for the need to place microphones at impractical points like the forehead.

Imaging tools created to enhance care may end up increasing radiologist workloads, hurting patients

More than 60% of recent advances could directly help patients but nearly half of all innovations would add to providers' already growing responsibilities.

‘Major step’ in digital pathology pinpoints lung cancer and its many mutations

The technique, known as "label-free digital pathology," combines infrared imaging and artificial intelligence.

quality imaging appropriateness clinical decision support CAS AUC

Artificial intelligence predicts delayed radiology turnaround times during nights and weekends

Predicting such delays could help improve relationships between referrers and radiologists, San Francisco imaging experts wrote recently.

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