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.

Nonprofit uses VR to help children with autism spectrum disorders

Autism XR, a nonprofit based out of Boise, Idaho, is using virtual reality (VR) to help children on the autism spectrum prepare for a variety of real-life experiences.

Artificial intelligence bolsters breast cancer risk prediction

This deep neural network was able to extract vast amounts of data from images and deduce a higher cancer risk association when compared to even the best mammographic breast density model.

Machine learning’s success may depend on addressing 'gray areas' of cancer diagnosis

AI holds tremendous promise for making radiologists more efficient, but when it comes to cancer care, a few experts believe the coming tech revolution may encounter a few problems.

Healthcare providers already seeing the benefits of AI

AI technologies are having a direct, significant impact on patient care, according to a new report from MIT Technology Review and GE Healthcare.

VR headsets bring NFL experience to patients

Patients at UCHealth locations throughout Colorado now have the opportunity to experience NFL games up close and personal—all without missing a single treatment.

Startups roll out AI-powered burnout buster for physicians

Two established AI startups are partnering to supply a digital toolkit for physicians at risk of burnout. The companies’ aim is to offer these doctors various prevention and treatment resources any place, any time.

AI, brain MRI combine to improve detection of ADHD

More than 6.1 million children were diagnosed with ADHD in 2016. Despite these numbers, there is no single test or imaging exam that can confidently diagnose a patient.

FDA to probe public risks of AI’s ever-growing role in radiology

The federal agency responsible for clearing new artificial intelligence algorithms wants to better understand the pitfalls of this technology’s burgeoning use in imaging.

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