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Eye-tracking reveals radiologists' reading habits when under the influence of AI

Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

surgical mask

New research suggests the technique can effectively break down amyloid fibrinogen microclots, which are believed to interfere with perfusion and cause inflammation.

doctor wrong patient wrong-site surgery medical error malpractice mistake

Of the more than 1,200 cases under review, 176 of the patients have passed away, and 101 of those individuals’ radiology findings were “misreported.”

AI completes CAC assessment using routine LDCT scan

New data suggest increases in CAC scores between lung cancer screenings strongly correlates with the risk of adverse cardiovascular events.

radiology report bubbles translate informatics imaging

Despite this, not all radiologists are on board with routinely using oncology templates.

heart data AI algorithm cardiologist doctor

The model spots previously undetected scarring patterns on cardiac MRI scans of patients with hypertrophic cardiomyopathy—a leading cause of sudden cardiac death among young people.

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.