New AI could predict dangerous blood pressure drops in C-Sections

NCT ID NCT06158542

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

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

Summary

This study aimed to create an artificial intelligence algorithm that can predict which patients are at risk of low blood pressure after receiving spinal anesthesia for a cesarean section. Researchers collected data from 370 patients, including their medical history, demographics, and blood test results. They then used machine learning to develop and test an algorithm that could help doctors prepare for and prevent this common complication.

What this could mean

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

Active substance: Artificial intelligence algorithm
What this could lead to: If successful, this algorithm could help doctors identify high-risk patients before spinal anesthesia, potentially reducing complications during cesarean sections.
What could go wrong: This is a completed study, but the algorithm's accuracy and real-world usefulness need further testing in different hospitals and patient groups.

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.

hypotensive disorder

As listed by the trial registrant

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

CAESERIAN SECTION SPINAL ANESTHESIA INDUCED HYPOTENSION

Contacts and locations

Locations

Hacettepe University Hospitals

Ankara, Altındağ, 06230, Turkey (Türkiye)

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