ER-VISION-AI Study
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorEwha Womans University Mokdong Hospital
About this trial
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.
Eligibility criteria
Qualifiers
Age ≥18 years
Presentation to a participating emergency department with acute cardiopulmonary symptoms, including chest pain, dyspnea, palpitations, syncope, dizziness, or fever accompanied by cardiopulmonary symptoms
Performance of both a standard 12-lead electrocardiogram and chest radiography during the initial emergency department evaluation
Availability of initial clinical assessment, vital signs, laboratory findings, and all mandatory clinical information required for the multimodal AI workflow
Disqualifiers
Inability or refusal to provide written informed consent
Requirement for immediate life-saving intervention that precludes completion of the study workflow
Death before completion of the initial emergency department diagnostic assessment
Electrocardiographic quality insufficient for reliable physician or Artificial intelligence (AI) interpretation
Trial design
Treatments tested in this trial
- Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support
- Conventional emergency department diagnostic evaluation
Treatment groups
1,000 Participants
are divided into 2 treatment groupsSponsors and collaborators
Ewha Womans University Mokdong Hospital
Lead sponsor
Ewha Womans University Seoul Hospital
Collaborator
Source ClinicalTrials.gov