AI could sharpen emergency diagnoses for chest pain and breathing trouble
NCT ID NCT07727590
First seen Jul 27, 2026 · Last updated Jul 28, 2026 · Updated 1 time
Summary
This trial tests whether an artificial intelligence tool can help emergency room doctors better diagnose patients with chest pain, shortness of breath, or other acute heart and lung symptoms. The AI analyzes ECGs, chest X-rays, lab results, and patient history to suggest possible diagnoses. About 1,000 adults across multiple hospitals will be randomly assigned to receive either standard care or AI-assisted diagnosis. The goal is to see if the AI improves how often the emergency diagnosis matches the final confirmed diagnosis.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- A GPT-based multimodal visual language model that analyzes ECGs, chest X-rays, lab results, and patient history to suggest diagnoses.
- What this could lead to
- If successful, this AI tool could help emergency doctors make faster, more accurate diagnoses for common but serious symptoms like chest pain and shortness of breath.
- What could go wrong
- The AI may not improve accuracy in real-world emergency settings, could produce errors, or may not work equally well for all patient groups. This is an early-stage trial.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Ewha Womans University Mokdong Hospital
Seoul, 07804, South Korea
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