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. 

artificial intelligence AI in healthcare

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. 

Hospital

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. 

Exo Iris AI inks another FDA clearance for pleural effusion

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. 

referral form referrer paperwork request radiology report

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. 

artificial intelligence heart AI

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.

artificial intelligence money finance acquisition

Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M

Founded in 2019 and based in Chicago, the vendor offers a “leading” infrastructure platform for building, refining and deploying large-scale AI models in medical imaging. 

AI in mental healthcare

Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?

If an individual is at all susceptible to mental unwellness, overuse of a talkative LLM could push him or her over the edge. Maybe literally. 

virtual reality surgical planning

Could the metaverse be the new radiology education classroom?

According to new data, the simulated virtual environment may be just as effective of a setting as the classroom for problem-based learning.