Targeted interventions could help reduce pre-test anxiety, improve the physical screening experience, and address structural barriers in underserved settings.
Pitting three multipurpose LLMs against two healthcare-specific AI tools, researchers have discovered the consumer-level AI can beat its purpose-built counterparts in healthcare scenarios—and soundly, at that.
Researchers believe the technique also could have utility for brain, head and neck MRI applications and could eventually be adapted to other imaging modalities as well.
“We have colonoscopies, we have mammograms, but we have not had equivalents for most forms of heart disease,” Pierre Elias, MD, Pathway Labs founder and CEO, explained.
Radiologists, meanwhile, took to social media to criticize the endeavor, noting that the generative AI company lacks clinical evidence to back its marketing claims.
The proportion of radiologists performing some (>0%) IR-related work declined from 70% in 2008 down to 50% by 2023, according to new research published in JVIR.
Targeted interventions could help reduce pre-test anxiety, improve the physical screening experience, and address structural barriers in underserved settings.
