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.

Optical-imaging advance takes aim at brain tumors

As an aid to tumor-resection neurosurgery and its planning, fluorescence imaging has been limited by its tendency to scatter light. Researchers are working on technology that would overcome this shortcoming.

5 findings that could spur imaging AI researchers to ‘avoid hype, diminish waste and protect patients’

As the research mounts on AI matching or besting radiologists in discrete interpretive tasks, so does the excitement in the popular press. Now comes a study showing many of these studies only invite the hype.

Google joins with HCA and SADA to take on COVID-19

The trio’s platform is designed to help healthcare providers quickly find out where their locality stands on things like ventilator utilization, testing results ICU bed availability and COVID patient discharges.

COVID-19 brings out the heroic in forensic pathologists

In the face of the coronavirus crisis, all radiologists can do for some of their pathologist peers is stand, salute and express solidarity.

Chatbots helping Jefferson Health keep up with COVID questions

Jefferson Health, the 14-hospital system serving the Philadelphia area, is using a new conversational chatbot to take questions from members of the community looking for information on COVID-19.

Mayo transporting COVID-19 tests in autonomous vehicles

Mayo Clinic Jacksonville in Florida is relieving overstretched hospital workers by toting medical supplies, including COVID-19 tests, in driverless shuttles.

Doesn’t miss a beat: AI assesses cardiac function faster than cardiologists

An AI algorithm can assess echocardiograms “more rapidly and comprehensively” than experienced cardiologists, according to a new study published in Nature.

3 hurdles healthcare AI should strive to clear this year

Want to see AI in healthcare? Look anywhere. Want to see AI underperforming in healthcare? The same directive applies.

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