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OR1-27 | Can GPT, an Openly Accessible Large Language Model, Identify Angiographically Significant Coronary Stenosis?
0
Zitationen
9
Autoren
2026
Jahr
Abstract
Assessment of coronary lesion significance by angiography remains inherently subjective. Although intravascular imaging and invasive physiology improve decision-making, they are not universally applied. Large language models (LLMs) are increasingly utilized by clinicians, yet their ability to interpret coronary angiography remains unclear.
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