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Clinical Validation of Vital-PICASO for Predicting Hypotension Within 24 Hours in General Ward Inpatients

NCT07742930 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 648

Last updated 2026-08-03

No results posted yet for this study

Summary

This retrospective study evaluated the clinical performance of Vital-PICASO, an artificial intelligence-based biological signal analysis software designed to predict the risk of hypotension within 24 hours using vital-sign data from adult general ward inpatients.

Electronic medical record data from patients aged 19 years or older who were admitted to a general ward at Seoul National University Hospital were retrospectively reviewed. Hypotension was defined as systolic blood pressure below 90 mmHg. Eligible data were classified as hypotension-positive or hypotension-negative according to predefined reference-standard criteria.

Vital-PICASO was applied to the selected vital-sign datasets, and the software-generated hypotension risk scores were compared with the reference-standard classifications. Predictive performance was evaluated separately using data that included oxygen saturation and data that excluded oxygen saturation. Because the study used previously collected medical records, there was no direct participant contact and the software results were not used to guide patient care.

Conditions

Sponsors & Collaborators

  • Huinno AIM

    lead INDUSTRY

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-21
Primary Completion
2026-04-01
Completion
2026-05-13

Countries

  • South Korea

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07742930 on ClinicalTrials.gov