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. 

agentic AI agents in healthcare

Next-generation AI agents are headed for healthcare. What will they do once they get here?

Healthcare AI agents can be classified as one of four models. In increasing order of autonomy and clinical integration, these are: foundation, assistant, partner and pioneer. 

Clinical support tool for pediatric autism earns $27M from private equity

Motivity is receiving an injection of cash from Five Elms Capital, a software investment firm. The companies said the funds will be used to hire staff and improve products.  

GE HealthCare launches AI-enabled automated breast ultrasound system

GE HealthCare launches new AI-enabled automated breast ultrasound system

Ivenia ABUS Premium was designed to help streamline the supplemental breast ultrasound workloads and enhance diagnoses by improving ease of use and image reproducibility. 

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

AI quantifies breast arterial calcifications on mammograms

There are no standards requiring radiologists to report on the presence of BACs, even though up to half of referring providers have indicated they would prefer to be made aware of the finding. 

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

Opportunistic screening: AI highlights key heart findings in mammography images

Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.

AI not currently safe to use as a standalone reader in breast cancer screenings.

AI 'not safe' to be implemented as a solo reader for breast cancer screening exams

Despite the great progress that has been made toward the clinical implementation of AI, new data caution against trusting the technology as a single reader in certain settings.

GE HEalthcare Nvidia robotics AI ultrasound imaging X-ray

Using robotics to automate X-ray, ultrasound workflows the goal of new GE HealthCare-Nvidia partnership

They announced the collaboration on Tuesday, hoping to simplify “complex workflows” such as patient placement, image scanning, and quality checks. 

health insurance AI controversy

Healthcare AI newswatch: Payer AI regulation please, pharmacy AI, nurses v. AI redux

Unionized nurses: ‘AI overrides our expertise and degrades the quality of care.’