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.

How VR can encourage more adults to get their flu shots

Virtual reality (VR) simulations could help improve flu vaccination rates, according to new findings published in Vaccine.

VR making a big impact on palliative care

Healthcare providers are starting to use virtual reality (VR) headsets more and more for patient care, providing moments of escape for individuals who need them the most.

Google AI model ‘impressive’ in detecting breast cancer, besting radiologists

The tech company has been working alongside Northwestern University and several U.K. institutions for years to develop the model.

Google’s AI system rivals radiologists at detecting breast cancer

The Silicon Valley company's DeepMind AI beat out six expert readers and with further clinical testing could change the face of early breast cancer detection.

Microbot Medical to debut new robotic system for endovascular procedures

Microbot Medical, a Hingham, Massachusetts-based healthcare technology company, has announced plans to debut a fully disposable robotic system to be used during neurovascular, cardiovascular and peripheral vascular procedures.

Researchers using AI to study astronauts during space travel

One out-of-this-world use for AI involves measuring the body compositions of astronauts.

MIT researchers create first laser ultrasound images of humans

The laser-based method produces the same quality images as conventional ultrasound, but may benefit patients, such as burn victims, who can't tolerate direct skin contact.

Blockchain specialists raise $200M in Series C funding

Ripple, a San Francisco-based technology company focused on blockchain, has raised $200 million in Series C funding.

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