AI eye on iron: smart blood analysis aims to catch hidden deficiency
NCT ID NCT07394088
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether an AI system that analyzes routine blood test results can help doctors detect iron deficiency more often. About 2,196 adults visiting outpatient clinics will take part, but no extra blood draws or procedures are needed—the AI simply adds a risk alert to the doctor's usual lab report. The goal is to see if this nudge improves detection without leading to unnecessary testing.
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.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 2,196 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Apr 2026
- Expected to finish
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Mar 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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: 1. Adults aged 18 years or older. 2. Patients attending outpatient clinics of participating departments including 2.1. Internal Medicine, 2.2 Family Medicine 2.3. Hematology/Oncology 3. Completion of a routine complete blood count (CBC) as part of usual clinical care during the outpatient encounter. 4. Availability of the CBC report in the institutional laboratory information system, allowing sufficient data for analysis. Exclusion Criteria: 1. Encounters with missing or incomplete key identifiers (e.g., patient identification number, ) that prevent determination of exposure status (AI information displayed vs not displayed) or assessment of outcomes within the defined follow-up period. 2. Encounters without a valid department code required by the information system to trigger the randomization mechanism and AI risk display. 3. Encounters with incomplete or missing laboratory data required to activate the AI system. 4. Repeated CBC encounters from the same patient during the study period, if applicable; only the first eligible encounter will be included to avoid duplication.
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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 places running it
1 site. The list below names each one and where it is.
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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.
Contacts and locations
Locations
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China Medical University Hospital
RECRUITINGTaichung, 404, Taiwan
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