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.

RSNA names winners of intracranial hemorrhage AI challenge

The challenge tasked teams with developing an algorithm capable of identifying and classifying subtypes of hemorrhages on head CT scans.

RSNA 2019: Disruption wrought by AI to bring opportunity, danger to radiology

If practices make the right moves around technology, the business outcome will help lift the specialty’s value and expand its markets.

NVIDIA launches new federated learning solution for training AI models

NVIDIA has unveiled a new solution at RSNA 2019 in Chicago, one that encourages the development of new AI models while keeping patient data in the hands of healthcare providers.

How VR can make a significant impact on stroke survivors

Virtual reality (VR) can help stroke survivors comply with home-based therapy and exercise programs, according to new research published in the Archives of Physical Medicine and Rehabilitation. Multi-user (MU) VR sessions were found to be more effective than single-user (SU) VR sessions.

Amazon Alexa reminds patients when to take medicine, request prescription refills

Amazon has partnered with Giant Eagle, a grocery chain with more than 200 locations throughout the United States, to help patients take their medications in a more timely manner.

Machine learning creates image ‘atlas' to improve disease diagnoses

Massachusetts Institute of Technology researchers harnessed machine learning to create conditional atlases that can help clinicians diagnose a wider subset of patients.

Historic medical objects imaged for insights

Duke researchers have used micro CT to peer deep into medicine’s past.

Blockchain in healthcare market could surpass $500M by 2022

The market for blockchain technology in healthcare could exceed $500 million by 2022, according to a new report. This includes an estimated compound annual growth rate of 61.4%.

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