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 blockchain answer the pharmaceutical industry’s prayers?

Blockchain technology may help the pharmaceutical industry achieve a substantial goal.

How AI can match schizophrenia patients with the best, most effective treatment plans

Machine learning could play a significant role in the future treatment of schizophrenia patients, according to new research published in JAMA Network Open.

Advanced imaging confirms cooling therapy targets brain’s core in newborns

Babies who suffer from a lack of oxygen are often treated using whole-body cooling in order to save brain tissue, but until now it's been difficult to determine how this therapy actually impacts the organ.

Meditation alters brain connectivity in areas associated with emotion, MRI shows

Volunteers reported feeling less stressed after three months of Transcendental Meditation, and fMRI offered an important clue as to why, researchers reported in Brain and Cognition.

Hospital system uses AI to root out, investigate radiologist errors in CT analysis

Sutter Health has used the new artificial intelligence platform to catch missed cancer diagnoses before they snowball into an untreatable state.

Hello AI, Goodbye Radiology as We Know It

A machine able to interpret diagnostic imaging studies better than radiologists has long been foreseen, yet its arrival comes almost as a surprise. We have underestimated the potential of AI to perform the kinds of work we do.

Wait. Will AI Replace Radiologists After All?

Despite authoritative voices reassuring radiologists that artificial intelligence will never seriously cull their workforce, speculation to the contrary continues. In fact, some of the prognosticators most certain about likely job losses are radiologists themselves.

Patients want a say in AI: 5 ways to help radiology get there

Although they've often been kept on the sidelines, patients believe artificial intelligence should address a number of clear priorities.

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