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.

Prominent imaging groups push for first radiology-specific artificial intelligence CPT code

The Category 3 code proposal would cover AI analysis for the detection of vertebral fractures and could take effect as soon as Jan. 1, 2022.

Oxford experts: ‘Ethically unacceptable’ to bypass impact testing of AI-powered clinical decision support

AI-based CDS tools that perform well in clinical trials will flounder on the way to clinical practice if they’re not evaluated early and thoroughly for their effects on real-world clinical decisionmaking.

Mass General uses artificial intelligence to bust imaging language barriers during COVID-19 pandemic

RadTranslate is a web app that creates AI-spoken, natural-sounding audio clips, and it's available free of charge for practices struggling to find interpreters.

Deep learning validated on 20K patients uses CT scans to predict cardiovascular risk

Coronary artery calcium scores generated by the system matched those manually performed by a human expert.

$3.1M project will combine neuroimaging, AI to enhance Army battlefield training and care

Rensselaer Polytechnic Institute researchers hope to use brain activity data, along with other metrics, to enhance prolonged field care certification.

Cardiologist’s AI software tracks the health of COVID-19 patients, updating every 2 seconds

“Vital sign measurements and labs can come too late, but early detection through predictive analytics has the power to improve patients’ outcomes, especially for catastrophic illnesses like COVID-19,” the software's creator said.

People with diabetes open to remote digital monitoring; more concerned about intrusiveness than AI per se

One turnoff is remote food monitoring. Another is real-time feedback—whether from a live healthcare professional or an AI algorithm.

One of AI’s leading lights discovers the indispensability of humility

A noted AI researcher and educator who was drawn to the field by its escalating penetration of “the mysteries of perception and cognition” has found a sort of missing link in its evolution.

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