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Deep Learning-based Artificial Intelligence for the Diagnosis of Small Bowel Obstruction

NCT06481358 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 17

Last updated 2024-07-01

No results posted yet for this study

Summary

The study will compare the diagnostic accuracy and time to diagnosis of computed tomography images of patients with suspected intestinal obstruction seen in the emergency room by residents and surgeons, with and without artificial intelligence.

Conditions

  • Bowel Obstruction
  • Artificial Intelligence

Interventions

DIAGNOSTIC_TEST

Artificial intelligence

AI extract intestinal region and reconstruct into 3D image.

Sponsors & Collaborators

  • Nagoya University

    lead OTHER

Principal Investigators

  • Hieoo Uchida, PhD. · Nagoya University Graduate School of Medicine, Pediatric Surgery

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-09-01
Primary Completion
2023-06-06
Completion
2024-10-31

Countries

  • Japan

Study Locations

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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 NCT06481358 on ClinicalTrials.gov