AI could help spot dengue without expensive lab tests

NCT ID NCT07432061

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

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.

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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

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