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ER-VISION-AI Study
Sponsor: Ewha Womans University Mokdong Hospital
Summary
Prospective, multicenter, randomized, open-label, blinded-endpoint (PROBE-like) clinical trial evaluating whether physician-supervised Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support improves diagnostic concordance in emergency department patients presenting with acute cardiopulmonary symptoms.
Official title: Multimodal Visual Language Model-Assisted Diagnostic Strategy in the Emergency Department: A Prospective Multicenter Randomized Controlled Trial (ER-VISION-AI Study)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1000
Start Date
2027-01-01
Completion Date
2029-12-31
Last Updated
2026-07-27
Healthy Volunteers
No
Interventions
Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support
A Generative Pre-trained Transformer (GPT)-based multimodal visual language model integrates electrocardiograms, chest radiographs, structured clinical information, laboratory findings, vital signs, and relevant clinical history to generate diagnostic suggestions and differential diagnoses for physician-supervised clinical decision support.
Conventional emergency department diagnostic evaluation
Routine emergency department diagnostic evaluation performed according to standard clinical practice without AI-assisted diagnostic support.
Locations (1)
Ewha Womans University Mokdong Hospital
Seoul, South Korea