Sound waves may spot schizophrenia early: new study

NCT ID NCT07604129

Not yet recruiting Diagnosis Sponsor: Taizhou Second People's Hospital Source: ClinicalTrials.gov ↗

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

Summary

This study tests whether a non-invasive brain ultrasound, combined with machine learning, can help distinguish people with schizophrenia from healthy individuals. Researchers will scan 200 adults (100 with schizophrenia, 100 without) and measure specific brain features. The goal is to build a computer model that could one day aid doctors in earlier diagnosis, though it will not replace standard psychiatric evaluation.

What this could mean

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

Active substance: transcranial sonography (brain ultrasound)
What this could lead to: If successful, this could give doctors a new, non-invasive tool to help diagnose schizophrenia earlier, especially in unclear cases.
What could go wrong: This is an early-stage study with only 200 participants. The model is a research tool and won't replace a psychiatrist's diagnosis. It may not work well in broader populations.

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.

schizophrenia

As listed by the trial registrant

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

SCHIZOPHRENIA

Contacts and locations

Locations

Taizhou Second People's Hospital

Taizhou, Zhejiang, 317200, China

More trials for these conditions

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