HI homepage

warning safety alert recall healthcare issue

The system enables surgeons to intraoperatively illuminate cancerous tissue in the breast cavity during lumpectomy surgery.

Agfa patient time line of prior exams and echo reporting in its CVIS at ASE 2023.

Evaluating LVDF with echocardiography or AI-powered electrocardiography can help identify individuals at an increased risk of developing atrial fibrillation, according to new data presented at the ASE 36th Annual Scientific Sessions.

Chest X-ray. Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiograph X-rays.. 

A new case series suggests AI could be used to improve lung cancer screening in low-resource settings or serve as a complement to low-dose CT screenings.

Ultrasound guidance a safer, more accurate method for biopsies of peripheral lung lesions in children

The technique has proven effective in adults, but until recently there has been a lack of data on its use among children.

Hackers have even gone as far as issuing fabricated acceptance letters with images plucked from the publication’s official website.

GE HealthCare's Venue Go point-of-care ultrasound (POCUS) system features AI-enabled tools to speed workflows, including Caption Guidance to help non-expert users capture diagnostic quality cardiac images. These systems helped drive positive earnings for the company in Q2 2025.

“The explanation here is simple. Ultrasound gives you more information, and more concrete information, about what’s going on,” authors of a new JAMA study say.

Around the web

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model. 

 

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.

A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance.