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Unmet Needs of Artificial Intelligence in Small Bowel Capsule Endoscopy
Stefania Piccirelli1, Daniele Salvi1, Cecilia Lina Pugliano1
1Department of Gastroenterology and Endoscopy, Fondazione Poliambulanza Istituto Ospedaliero, 25124 Brescia, Italy.
Artificial intelligence (AI) is being integrated into small bowel capsule endoscopy (SBCE) to speed up diagnosis. This review explores AI
Area of Science:
- Gastroenterology and Medical Imaging
Background:
- Small bowel capsule endoscopy (SBCE) is a key tool for diagnosing small bowel disorders.
- Current SBCE interpretation is time-consuming for gastroenterologists, posing a diagnostic challenge.
Purpose of the Study:
- To review the evolving role of artificial intelligence (AI) in SBCE interpretation.
- To examine advancements and ongoing studies in AI for overcoming SBCE limitations.
Main Methods:
- Literature review of AI applications in SBCE.
- Analysis of current research and emerging technologies in AI-assisted capsule endoscopy.
Main Results:
- AI integration shows promise in addressing the time-intensive nature of SBCE video analysis.
- Emerging AI tools aim to improve diagnostic accuracy and efficiency in SBCE.
Conclusions:
- AI is poised to significantly enhance the utility and efficiency of small bowel capsule endoscopy.
- Further research and development are crucial for widespread AI adoption in SBCE.
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