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.
Several groups collaborated on the document, which is designed to help clinicians provide high-quality, consistent care when using flurpiridaz during cardiac PET imaging exams.
Mount Sinai Fuster Heart Hospital aims to take its use of AI during interventional procedures to the next level and find new ways to transform patient care.
Targeted interventions could help reduce pre-test anxiety, improve the physical screening experience, and address structural barriers in underserved settings.
