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.

Will medical imaging follow the (investor) money to in-office, AI-aided MRI?

The moment may be ripe for MRI scanners that could fit into clinicians’ offices and leverage AI for optimally efficient workflows, interpretations and treatment plans.

Virtual training, simulated care exercises temporarily free for clinical learners

The educational technology company Ascend Learning is offering clinical simulations and virtual training modules free of charge through May 15.

UPS to deliver CVS prescriptions by drone during pandemic, maybe longer

Residents of Florida’s largest retirement community are soon to receive their meds by unmanned aerial vehicles.

Artificial intelligence analyzes CT scans to determine which COVID patients require ventilators

Case Western Reserve University said its new AI tool could make it easier to triage patients and deploy scarce resources during the pandemic.

Algorithm classifies sleep apnea—or recognizes its absence—from 3D headshots

A predictive algorithm has distinguished patients free of obstructive sleep apnea from those with three levels of the condition—mild, moderate and severe—with 91% accuracy. And it did so using only 3D photos of the subjects’ faces.

Researchers using AI to track cardiac health of coronavirus patients given hydroxychloroquine, azithromycin

Cardiologs has announced the beginning of a new clinical trial that will involve monitoring the cardiac health of COVID-19 patients being treated with hydroxychloroquine and azithromycin.

Deep learning–MRI classification combo called a ‘great leap forward’ in glioma care

Using brain MRI and a deep learning network, researchers have achieved 97% accuracy at classifying a gene mutation indicative of growth in localized gliomas.

Customizable, free COVID-19 prediction models on offer from Cleveland Clinic, SAS

Cleveland Clinic and the analytics software vendor SAS have jointly developed predictive models to help hospitals prepare for three COVID-19 scenarios—worst case, best case and most likely.

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