Role of Artificial Intelligence in Video Capsule Endoscopy

Area of Science:

• Medical Technology
• Gastroenterology
• Artificial Intelligence

Background:

• Capsule endoscopy (CE) is a key tool for examining the entire gastrointestinal (GI) tract, particularly small bowel pathology.
• Current CE methods face challenges including lengthy review times, potential for missed diagnoses, and lack of advanced features.
• Artificial intelligence (AI) is emerging as a transformative technology in medical diagnostics and procedures.

Purpose of the Study:

• To review the current state and recent advancements of AI applications in capsule endoscopy.
• To discuss the challenges and barriers to implementing AI-aided CE in clinical practice.
• To explore the future potential of AI to improve CE performance and patient outcomes.

Main Methods:

• Literature review of recent studies on AI and capsule endoscopy.
• Analysis of AI algorithms and their application to CE data.
• Discussion of implementation strategies and future research directions.

Main Results:

• Significant progress has been made in applying AI to enhance CE, addressing its inherent limitations.
• AI demonstrates potential to improve diagnostic accuracy and efficiency in CE interpretation.
• Several open questions and practical barriers remain for the widespread adoption of AI in CE.

Conclusions:

• AI holds considerable promise for revolutionizing capsule endoscopy, improving diagnostic capabilities.
• Overcoming implementation hurdles is crucial for integrating AI-aided CE into routine clinical workflows.
• Future developments in AI are expected to further enhance the value and application of CE in gastroenterology.