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.

Radiologists urge peers to avoid ceding authority to nonphysician practitioners, opt for AI instead

Artificial intelligence costs less, integrates into workflows, and is less likely to take over their duties, Daniel Ortiz and colleagues wrote in JACR.

Terahertz imaging IDs early stage breast cancer without sample staining

The approach imaged samples smaller than 0.5 mm, which is difficult even under pathological analysis.

Experts introduce AI-RADS to help bolster radiologists’ proficiency in artificial intelligence

Dartmouth College experts are now looking to upload their novel training to the web to help others share in their success.

PET/CT-based radiomics model tailors treatment for lung cancer patients

The technique identifies individuals with a specific growth factor receptor common in those with non-small cell cancer.

Experts cite Google-led breast cancer screening study in call for more AI research transparency

The offending study, which claimed an algorithm could beat out human radiologists, is just one of many examples of this problematic pattern, the group wrote in Nature.

Emerging hospital technologies well-funded, widely distributed in Europe

The European Union is allocating many millions of euros to a “hospital of the future” project that’s led from the U.K. and piloting numerous tech-based hospital enhancements in six European cities.

78% of women oppose using AI to independently read mammograms without a radiologist's help

The findings illustrate that even if such algorithms are ready for primetime, providers have work to do convincing patients of their efficacy, Dutch experts noted.

Advances in mass spectrometry imaging prove promising for new osteoarthritis biomarkers

Clinicians have long relied on x-ray and MRI to diagnose the condition, but both fall short in detecting subtle molecular changes.

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