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
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
- lead INDUSTRY
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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