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NCT06481358

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

Sponsor: Nagoya University

View on ClinicalTrials.gov

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.

Official title: Study Using Deep Learning-based Artificial Intelligence for the Diagnosis of Small Bowel Obstruction

Key Details

Gender

All

Age Range

Any - Any

Study Type

OBSERVATIONAL

Enrollment

17

Start Date

2022-09-01

Completion Date

2024-10-31

Last Updated

2024-07-01

Healthy Volunteers

Yes

Interventions

DIAGNOSTIC_TEST

Artificial intelligence

AI extract intestinal region and reconstruct into 3D image.

Locations (1)

Nagoya University Graduate School of Medicine

Nagoya, Aichi-ken, Japan