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AI could help spot dengue without expensive lab tests

NCT ID NCT07432061

Knowledge-focused Sponsor: Mahidol University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This completed study tested whether machine learning could predict dengue and severe dengue using electronic health records from 1,000 patients in Thailand and Vietnam. The goal was to create a low-cost tool that works even when lab tests are unavailable. Researchers used vital signs and basic blood counts to train the AI, aiming to improve diagnosis in areas where dengue is common.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to a low-cost AI tool that helps doctors in resource-limited areas quickly diagnose dengue and predict who might get severely ill.
What could go wrong
This was a retrospective data analysis, not a live trial. The models may not work as well in real-world clinics or in different regions, and missing data could limit accuracy.

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

1,000 people

The number who actually took part.

Started

Nov 2024

Finished

Sep 2025

Lead sponsor

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.

Who is studied

All anonymized medical records of inpatients and out-patients adults aged ≥18 years visiting the Hospital for Tropical Diseases in Bangkok between January 1, 2016, and September 30, 2024, will be included in this study.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Dengue-related ICD codes: A90-94, A910, A911, A919, A970-972, A979 * Non-dengue ICD codes: R78.81, A79.9, A27, B34.9, A49.9 Exclusion Criteria: * Medical records with significant missing values, as determined by the Principal Investigators (PIs) and co-investigators. * Records of patients diagnosed with mixed infections (causative agents ≥ 2)

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Conditions

The condition(s) this trial relates to.

dengue disease

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Dengue fever Electronic health records Prediction

Contacts and locations

Locations

  • Hospital for Tropical Diseases, Faculty of Tropical Medicine

    Bangkok, 10400, Thailand

More trials for these conditions

Other studies related to the condition(s) this trial covers.