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.

ACR urges radiologists to take charge of artificial intelligence development, protect patient safety

The first federated learning experiment will kick off in early 2022, aiming to produce a “highly accurate” COVID-19 classification model through collaboration.

Notable regulatory approvals of emerging technologies over the past 30 days

Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing and visualization, robotics and other innovative technologies changing healthcare delivery.

Aidoc unveils first-of-its kind operating system for using AI across vendors, subspecialties

The new system currently includes FDA-cleared algorithms from five companies along with seven developed by Aidoc.

RSNA announces winners of its brain tumor AI challenge

More than 2,700 participants were tasked with developing AI models capable of completing two different tasks.

Fast Company lauds fast healthtech companies

The business magazine Fast Company is out with its picks for the “next big things in tech.” Of 65 companies making the overall list for 2021, the project’s inaugural year, 10 of the best are in healthcare.

Novel camera images objects around corners, behind barriers

Potential medical applications include brains inside heads and hearts within chests.

Prescription VR pain relief earns FDA nod

The FDA has OK’d a prescription-only virtual reality system that patients with chronic back pain can use at home to relieve their suffering.

New AI software a low-cost, efficient option for coronary artery calcium scoring

The tool can be universally applied across multiple CT scanners and vendors, experts reported in the European Journal of Radiology.

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