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.

Machine learning predicts potential complications in CT-guided thoracic biopsies

With such a model, clinicians can implement preemptive measures for higher risk patients, experts wrote in Academic Radiology.

New optical tomography microscope bolsters the power of 3D imaging

Colorado State University and the University of Illinois at Urbana-Champaign teamed up to develop the harmonic optical tomography approach.

3 ways AI is accelerating the fight against COVID

AI companies serving healthcare markets have been fast to tailor their work to the COVID-19 crisis. An opinion piece published by the World Economic Forum offers a sampling.

Algorithms to help Hospital Sisters cut wasteful use of surgical services

The Midwestern Catholic health system Hospital Sisters is working with an AI startup to block overutilization of surgical services.

Neurological symptoms present in patients with COVID-19

Altered mental state and stroke were the most common findings, which may help physicians better understand how the disease impacts the central nervous system.

Brain imaging pinpoints weaker ‘neural suppression’ in patients with autism

The findings published Friday may help researchers develop new screening mechanisms to identify children who are at risk for the disorder and similar conditions.

University acquires 7T MRI thanks to $600K NIH grant

It's all part of Georgia State University's imaging innovation hub designed to unite digital imaging research from across the institution.

Major health system delivering COVID supplies by drone

The U.S. Federal Aviation Administration has cleared North Carolina-based Novant Health to use unmanned aerial vehicles for transporting PPE and other medical supplies without human-to-human contact.

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