Capsule Endoscopy: Current Trends, Technological Advancements, and Future Perspectives in Gastrointestinal...

Area of Science:

• Gastroenterology
• Medical Imaging
• Diagnostic Technology

Background:

• Capsule endoscopy (CE) provides a non-invasive visualization of the gastrointestinal tract, especially the small intestine.
• CE is crucial for diagnosing conditions like GI bleeding, Crohn's disease, and cancer, offering a safer alternative to conventional endoscopy.
• Limitations in biopsy and therapeutic capabilities have driven advancements in CE technology.

Purpose of the Study:

• To systematically evaluate current capsule endoscopy platforms and their clinical readiness.
• To explore the potential of artificial intelligence (AI) in enhancing diagnostic accuracy with CE.
• To identify progress in overcoming CE limitations and outline future developments in GI diagnostics.

Main Methods:

• Methodical evaluation of various capsule endoscopy platforms, including steerable, magnetic, robotic, tethered, and hybrid types.
• Analysis of technical specifications such as image resolution, field of view, battery life, and frame rates.
• Examination of clinical integration and the role of AI in diagnostic precision.

Main Results:

• Diverse CE platforms exhibit significant variations in technical performance (e.g., image size, FOV, battery life, frame rates).
• Progress has been made in addressing the inherent constraints of capsule endoscopy.
• Artificial intelligence shows promise for improving the diagnostic capabilities of CE.

Conclusions:

• Capsule endoscopy represents a significant advancement in gastrointestinal diagnostics.
• Ongoing technological development and the integration of AI are poised to further enhance CE's clinical utility.
• Future next-generation CE platforms will likely offer improved diagnostic precision and patient outcomes.