AI reads hospital notes to spot heart attacks faster and privately
NCT ID NCT07449429
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study develops and tests an AI system that reads de-identified patient admission notes to classify four types of coronary syndromes, including heart attacks and angina. The tool is designed to protect patient privacy while helping doctors diagnose more accurately and quickly. Researchers will evaluate the system using 10 hospital records and additional external datasets.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 10 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Feb 2026
An estimate. Start dates often move.
- Expected to finish
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Mar 2026
An estimate. End dates often move.
- Lead sponsor
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A government agency
The lead sponsor is a government body.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population includes (1) de-identified clinical encounter records and (2) physician participants for usability testing. For record-based cohorts, eligible encounters contain an admission/presentation History of Present Illness (HPI) (text or image-derived text) sufficient for 4-class coronary syndrome subtyping (e.g., STEMI, NSTEMI, unstable angina, chronic coronary syndrome). Records are analyzed at the encounter level and are organized into five dataset-based cohorts (internal validation, multicenter external validation, ED external validation, English EHR external validation, and clinician usability). Reference labels are assigned using a prespecified clinical adjudication process.
- Ages
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18 years and older
- Sex
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Anyone
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria:Hospital encounters with admission HPI documenting sym 2a4afaef-9dc1-47fc-874f-9dffaf7… evant to coronary syndrome subtyping. Cases with sufficient documentation to assign one of four target subtypes (STEMI, NSTEMI, UA, CCS) by adjudication. \- Exclusion Criteria: Unclear subtype or incomplete/uncertain time information preventing gold standard assignment. Non-CHD primary reason for admission after screening (for MIMIC-IV cohort). \-
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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