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Training of a convoluntional neural network by using collected data from routine colonoscopy in an outpatient setting

Training of a convoluntional neural network by using collected data from routine colonoscopy in an outpatient setting - ARTIE (artificial intelligence endoscopy)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00024150
Enrollment
15000
Registered
2021-03-26
Start date
2021-02-18
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

K63.5

Interventions

Group 1: Recording of endoscopy videos

Sponsors

Ärztlicher Direktor der Klinik für Allgemeine Innere Medizin,Gastroenterologie, Hepatologie, Infektiologie und PneumologieKatharinenhospital - Zentrum Innere Medizin Klinikum der Landeshauptstadt Stuttgart gKAöR
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: - indication for gi-endoscopy - signed informt consent

Exclusion criteria

Exclusion criteria: - not willing to participate - Age <18

Design outcomes

Primary

MeasureTime frame
accuracy of CNN (convoluntional neural network)—

Countries

Germany

Contacts

Public ContactAlexander Hann

Universitätsklinikum WürzburgMedizinische Klinik und Poliklinik II

Hann_A@ukw.de+49 931 201 45918

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026