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.

Novel PET imaging technique detects prostate cancer cells during surgery

German researchers reported success using Cerenkov luminescence imaging in 10 patients, according to a first-in-human study published in the Journal of Nuclear Medicine.

Cleveland Clinic team awarded millions for neuroimaging project investigating Parkinson’s disease

As part of the endeavor, the Lou Ruvo Center for Brain Health will utilize advanced imaging techniques, such as diffusion-weighted MRI.

Everything radiology departments need to consider before purchasing AI

Imaging experts from two top institutions detailed five factors to consider prior to pulling the trigger.

Cardiologist-led AI startup launches, secures $15M in funding

The company, Abridge, aims to help patients gain a better understanding of their own healthcare.

MRI-based technique may surpass invasive biopsies for analyzing breast cancer treatment effectiveness

Patients typically wait a while to understand if their treatment is working, but this imaging approach could reduce that time and help personalize care.

‘Massive leap forward’: 4D MRI helps diagnose prenatal congenital heart disease

If providers can detect CHD before a child is born, doctors can begin life-saving care immediately after birth.

Machine learning tool analyzes brain scan data to predict mood disorder medication responses

Previously, the algorithm was 90% accurate at predicting medical outcomes, but Georgia State University researchers believe they can do better.

Novel PET scan timer bolsters clinicians' cancer treatment capabilities

The development measures oxygen concentrations within the body’s tissue to better understand tumors with more aggressive growth patterns.

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