AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach

Review Gastroenterology & Hepatology

Colon capsule endoscopy in colorectal cancer screening: a systematic review

Fanny E. R. Vuik et al.

Summary: CCE shows potential advantages in CRC screening, with comparable accuracy to colonoscopy in detecting CRC and polyps. Its sensitivity is superior to CTC, but improvement is needed in completion rates.

ENDOSCOPY (2021)

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Article Multidisciplinary Sciences

Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy

Ji Hyung Nam et al.

Summary: This study developed an automated software for calculating small bowel cleansing scores using deep learning, which showed significant performance in assessing small bowel preparation. The findings suggest a negative correlation between cleansing scores and clinical grading, with the potential to guide the detection of small bowel lesions.

SCIENTIFIC REPORTS (2021)

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Article Gastroenterology & Hepatology

Artificial intelligence and colon capsule endoscopy: development of an automated diagnostic system of protruding lesions in colon capsule endoscopy

M. M. Saraiva et al.

Summary: The deep learning algorithm developed in this study accurately detects protruding lesions with a sensitivity, specificity, positive predictive value, and negative predictive value of 90.7%, 92.6%, 79.2%, and 96.9% respectively. The application of AI technology to colon capsule endoscopy may improve its diagnostic accuracy and acceptance for colorectal neoplasia screening.

TECHNIQUES IN COLOPROCTOLOGY (2021)

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Review Medicine, General & Internal

Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges

Sang Hoon Kim et al.

Summary: Artificial intelligence has revolutionized the medical diagnostic process, particularly in automated reading of capsule endoscopy videos. While computer algorithms have advanced rapidly, challenges remain in validating performance and handling unique characteristics of capsule endoscopy images.

DIAGNOSTICS (2021)

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Article Medicine, General & Internal

Development and Verification of a Deep Learning Algorithm to Evaluate Small-Bowel Preparation Quality

Ji Hyung Nam et al.

Summary: This study developed an objective small bowel cleansing score system using a deep learning algorithm, and demonstrated its good performance through clinical validation, supporting its practical use for evaluating small bowel preparation in capsule endoscopy.

DIAGNOSTICS (2021)

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Article Gastroenterology & Hepatology

A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy

Romain Leenhardt et al.

Summary: The study evaluated a neural network-based algorithm for automated assessment of small-bowel cleanliness during capsule endoscopy. The algorithm demonstrated high sensitivity, good reproducibility, and potential for automated, standardized SBCE reports.

ENDOSCOPY (2021)

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Article Gastroenterology & Hepatology