AI predicts missed HIV appointments: could save lives?

NCT ID NCT06604663

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: Brown University Source: ClinicalTrials.gov ↗

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

Summary

This study tests whether machine learning can predict which HIV patients are likely to miss clinic visits or have treatment failure. Researchers will give clinic workers risk alerts to help them reach out to high-risk patients. The goal is to improve retention in care and viral suppression across 80,000 patients in Kenya.

What this could mean

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

Active substance

Clinical decision support system (CDSS) using machine learning algorithms

What this could lead to

If successful, this could help clinics in Africa identify patients at risk of missing appointments or failing treatment, improving HIV care and reducing viral spread.

What could go wrong

This is an observational study without a new drug or treatment. The algorithms may not work as well in real-world settings, and results may not apply to other regions.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

AIDS HIV infectious disease No-Show Patients Patient Compliance Patient Dropouts Patient Participation Treatment Adherence and Compliance

As listed by the trial registrant

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

HIV VIREMIA HUMAN IMMUNODEFICIENCY VIRUS PATIENT DROPOUTS PATIENT ENGAGEMENT PATIENT NO SHOW TREATMENT ADHERENCE TREATMENT COMPLIANCE

Contacts and locations

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Locations

AMPATH

Eldoret, Kenya