An interventional study of Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support and Conventional emergency department diagnostic evaluation in Chest Pain, Dyspnea and Acute Cardiopulmonary Disease, sponsored by Ewha Womans University Mokdong Hospital. Not yet recruiting at 1 site in South Korea. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-27.
Sponsored by Ewha Womans University Mokdong Hospital · Not applicable, Interventional, and Diagnostic
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.
388 studies on the registry are indexed under Chest Pain; 64 are open to participants now.
This study's planned enrollment of 1,000 is above the median of 129 across 204 interventional studies indexed under Chest Pain.
Browse Chest Pain studies →Ewha Womans University Mokdong Hospital is the lead sponsor of 28 studies on the registry; 10 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
A recording of the heart’s electrical activity, taken with stickers on the chest, arms and legs. It takes a few minutes and does not hurt.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
ECG (electrocardiogram)
A recording of the heart’s electrical activity, taken with stickers on the chest, arms and legs. It takes a few minutes and does not hurt.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Participants receive physician-supervised Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support integrating electrocardiography, chest radiography, structured clinical information, laboratory findings, vital signs, and relevant medical history. Treating physicians remain responsible for all diagnostic and therapeutic decisions.
Diagnostic Test: Generative Pre-trained Transformer (GPT)-assisted multimodal visual language model (VLM) diagnostic support
Participants undergo standard emergency department diagnostic evaluation according to routine clinical practice without Generative Pre-trained Transformer (GPT)-assisted diagnostic support.
Diagnostic Test: Conventional emergency department diagnostic evaluation
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.
Routine emergency department diagnostic evaluation performed according to standard clinical practice without AI-assisted diagnostic support.
Diagnostic concordance between the final emergency department diagnosis and the blinded adjudicated reference diagnosis established at hospital discharge.
Diagnostic concordance between the treating physician's final emergency department diagnosis and the blinded adjudicated reference diagnosis based on the prespecified principal diagnostic category.
Time frame: During the index hospitalization, up to hospital discharge (average 3 days)
Diagnostic concordance after Generative Pre-trained Transformer (GPT)-assisted diagnostic support
Diagnostic concordance between the physician's final emergency department diagnosis after Generative Pre-trained Transformer (GPT)-assisted multimodal diagnostic support and the blinded adjudicated reference diagnosis in participants assigned to the intervention group.
Time frame: During the index emergency department visit (average 6 hours)
Time from emergency department presentation to final diagnosis
Time required from emergency department presentation until establishment of the physician's final emergency department diagnosis.
Time frame: During the index emergency department visit (average 6 hours)
Diagnostic reclassification after Generative Pre-trained Transformer (GPT)-assisted evaluation
Frequency of changes between the physician's initial working diagnosis and the final emergency department diagnosis after review of Generative Pre-trained Transformer (GPT)-generated diagnostic recommendations.
Time frame: During the index emergency department visit (average 6 hours)
Physician diagnostic confidence
Physician-reported diagnostic confidence recorded before and after Generative Pre-trained Transformer (GPT)-assisted diagnostic support using the prespecified study assessment scale.
Time frame: During the index emergency department visit (average 6 hours)
Physician acceptance of Generative Pre-trained Transformer (GPT)-generated diagnostic recommendations
Frequency of physician acceptance, modification, or rejection of Generative Pre-trained Transformer (GPT)-generated diagnostic recommendations in the intervention group.
Time frame: During the index emergency department visit (average 6 hours)
Emergency department disposition accuracy
Accuracy of emergency department disposition decisions, including discharge, hospital admission, or intensive care unit admission, compared with the adjudicated reference diagnosis.
Time frame: Up to hospital discharge (average 3 days)
Emergency department length of stay
Length of stay in the emergency department measured from patient presentation until emergency department discharge or hospital admission.
Time frame: Up to hospital discharge (average 3 days)
Hospital length of stay
Total duration of hospitalization from admission until hospital discharge.
Time frame: Up to hospital discharge (average 3 days)
In-hospital mortality
All-cause mortality occurring during the index hospitalization.
Time frame: Up to hospital discharge (average 3 days)
30-day all-cause mortality
All-cause mortality occurring within 30 days after the index emergency department visit.
Time frame: 30 days
30-day emergency department revisit
Revisit to any emergency department for any cause within 30 days after the index emergency department visit.
Time frame: 30 days
30-day hospital readmission
Hospital readmission for any cause within 30 days after discharge from the index hospitalization.
Time frame: 30 days
Plan to share: Undecided — The investigators have not yet determined whether de-identified individual participant data (IPD), including the analyzable dataset and supporting documentation, will be shared with researchers outside the study team. A final decision will be made after completion of the study, taking into consideration institutional policies, participant privacy, ethical requirements, and applicable regulations.
This study is not yet recruiting, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.
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Ewha Womans University Mokdong Hospital