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.

AI reads digital pathology slides to help improve cancer outcomes

The tool, detailed in an EBioMedicine study published last month, can sift through the multitudes of cells in a tissue sample and identify tumors’ growth patterns, along with other highly useful information for predicting health outcomes.

FDA announces public workshop on AI in radiology

The public workshop will take place this upcoming February and will discuss computer-aided detection and diagnosis software, computer-aided triage systems and image quality enhancement algorithms, among other topics.

XRHealth launches VR/AR platform to connect doctors with patients

XRHealth has developed a new platform that allows physicians and their patients to communicate directly using virtual reality (VR) and augmented reality (AR).

Deep learning with nuke med quantifies prostate gland uptake, predicts cancer survival

European researchers have trained and validated an algorithm for quantifying prostate measurements on PET/CT scans.

How to integrate AI into the cardiac imaging pipeline

Artificial intelligence may be perceived as a threat to some physicians, but, according to research presented at the Radiological Society of North America’s annual meeting in Chicago, it could have some real use for cardiologists.

Can virtual reality keep teens from vaping?

Researchers from the Yale Center for Health and Learning Games are hoping they can keep some teenagers from vaping with an assist from virtual reality (VR).

Amazon launches new AI-powered transcription service for healthcare

Amazon Web Services (AWS) has announced a new AI-powered medical transcription service, Amazon Transcribe Medical, designed to improve clinical documentation for healthcare providers.

AI predicts patients' future healthcare costs from chest x-rays

The technique combines AI with patient-specific health and cost information for a rough estimate on an individual's five-year healthcare expenditures.

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