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Published on: July 11, 2025
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Implementing endoscopy video recording in routine clinical practice: Strategies from three tertiary care centers
Jonas L Steinhäuser1,2, Tyler M Berzin3, Mark E Geissler1,2,3
1Else Kröner Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.
Endoscopy International Open
|July 4, 2025
Summary
Routine endoscopy video recording is crucial for artificial intelligence (AI) development. Implementing effective data management strategies and dedicated staff are key to overcoming challenges and building robust AI applications in gastroenterology.
Area of Science:
- Medical technology
- Artificial intelligence in medicine
- Gastroenterology
Background:
- Endoscopy video recordings are essential for training artificial intelligence (AI) models.
- Collecting and managing large datasets for AI development presents significant challenges.
- New workflows and data management strategies are needed for routine endoscopy data collection.
Purpose of the Study:
- To outline challenges in routine endoscopy data recording in clinical practice.
- To share experiences and solutions from three international endoscopy centers.
- To inspire global adoption of routine video recording for AI development.
Main Methods:
- Describing tailored recording setups at three endoscopy centers (Germany and US).
- Identifying common challenges: EHR integration, automated recording, data privacy.
- Highlighting the essential role of dedicated research staff for operational success.
Main Results:
- Each center implemented customized recording solutions.
- Key challenges included EHR integration, automated recording, and data privacy.
- Dedicated research staff were critical for successful daily operations.
Conclusions:
- Successful strategies for routine endoscopy video recording were described.
- The study aims to encourage widespread adoption of these practices.
- Increased data volume and diversity will accelerate clinically impactful AI applications in gastroenterology.
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