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.

‘Beleaguered’ residency directors urged to take care in adopting AI

As AI inches into the workflows of residency program directors, many may need to prepare against delegating too much of the laborious candidate-selection task to an algorithm.

University of Oregon partnering with mental health specialist PeaceHealth on schizophrenia imaging project

The collaboration is one of 27 teams across the U.S. participating in a massive new consortium, the Psychosis Risk Outcomes Network, or ProNET.

US patents for AI innovations skyrocketing; IBM the top corporate AI inventor

The forward slash-shaped rise reflects broad participation from corporations, companies, businesses, organizations, individual inventors and other innovating entities.

Radiologists turn to new AI tool to improve breast cancer detection on screening mammograms

The U.S. Food and Drug Administration cleared MammoScan for clinical use back in March.

New algorithm enhances radiologists’ ability to spot brain aneurysms on CTA scans

Deep learning detected 633 of the 649 aneurysms, but researchers explained it should only be used to assist experts' interpretations.

4 key steps toward adopting AI-aided triage at scale

Harvard researchers at Mass General Brigham have built an AI chatbot that can automatically triage patients whenever they call or show up in disaster-level numbers.

NIH funnels millions into research project seeking to enhance musculoskeletal MRI

As part of their effort, a University at Buffalo-led team will develop flexible and wearable imaging hardware.

7 AI innovators still in the running for $1M prize from CMS

Last fall CMS whittled a field of 300-something entrant teams in its AI Health Outcomes Challenge to 25 semifinalists. This week the agency revealed seven finalist entities, one of which will claim the grand prize of up to $1 million next spring.

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