Capsule Endoscopy Technology: A New Era in Digestive Tract Examination

Abstract

Capsule endoscopy (CE) represents an important groundbreaking advancement in gastrointestinal (GI) examinations, distinguished by its noninvasive, painless, and convenient nature, and has swiftly established itself as a crucial tool for diagnosing and treating digestive diseases. With the development of artificial intelligence (AI) and machine learning (ML), as AI and ML progress, the capabilities of CE have expanded beyond mere imaging within the GI tract; it is progressively evolving to encompass procedures such as biopsies and targeted drug delivery. This review systematically searched five reputable repositories—Scopus, PubMed, IEEE Xplore, ACM Digital Library, and ScienceDirect—for all original publications on CE from 2001 to 2024. The review provides an overview of the current status and identified limitations of CE, highlighting the significant role that AI and ML are projected to play in its future development.

Keywords

capsule endoscopy - endurance - image transmission - advancements in artificial intelligence - limitation

Authors' Contribution

K.-m.H. and H.-b.C. initiated the study design, K.-m.H.Y.D. and H.-b.Q. are responsible for collecting original articles and article writing, while H.-b.C. and L.-h.W. are responsible for reviewing article quality and English calibration.

Source of Support

None.

^* These authors have contributed equally to this work and share first authorship.

Publikationsverlauf

Artikel online veröffentlicht:
30. Dezember 2024

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