A Study Using Artificial Intelligence to Identify Adults With Complex Perianal Fistulas Associated With Crohn's Disease

NCT04844593 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 32

Last updated 2024-05-10

No results posted yet for this study

Summary

Natural Language Processing and machine learning are examples of artificial intelligence tools. This study will check if these tools correctly identify people with Crohn's disease with complex perianal fistulas from their medical records.

Conditions

  • Crohn Disease
  • Rectal Fistula

Sponsors & Collaborators

Principal Investigators

  • Study Director · Takeda

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-08
Primary Completion
2023-02-27
Completion
2024-04-29

Countries

  • Spain

Study Locations

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Entities

Companies

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 NCT04844593 on ClinicalTrials.gov