A systematic review on diagnosis and treatment of gastrointestinal diseases by magnetically controlled capsule endoscopy and artificial intelligence

X Wang, X Hu, Y Xu, J Yong, X Li… - Therapeutic …, 2023 - journals.sagepub.com
Background: Magnetically controlled capsule endoscopy (MCCE) is a non-invasive,
painless, comfortable, and safe equipment to diagnose gastrointestinal diseases (GID) …

Recent advances in applying machine learning and deep learning to detect upper gastrointestinal tract lesions

M Vania, BA Tama, H Maulahela, S Lim - IEEE Access, 2023 - ieeexplore.ieee.org
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …

[HTML][HTML] Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse …

H Wahab, I Mehmood, H Ugail, J Del Ser… - Future Generation …, 2024 - Elsevier
Wireless capsule endoscopy (WCE) is a revolutionary diagnostic method for small bowel
pathology. The manual perusal of the resulting lengthy and redundant videos is …

The promise of artificial intelligence in digestive healthcare and the bioethics challenges it presents

M Mascarenhas, J Afonso, T Ribeiro, P Andrade… - Medicina, 2023 - mdpi.com
With modern society well entrenched in the digital area, the use of Artificial Intelligence (AI)
to extract useful information from big data has become more commonplace in our daily lives …

[HTML][HTML] Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities

H Wahab, I Mehmood, H Ugail, AK Sangaiah… - Future Generation …, 2023 - Elsevier
Video capsule endoscopy (VCE) is a revolutionary technology for the early diagnosis of
gastric disorders. However, owing to the high redundancy and subtle manifestation of …

[HTML][HTML] Time-based self-supervised learning for Wireless Capsule Endoscopy

G Pascual, P Laiz, A García, H Wenzek, J Vitrià… - Computers in Biology …, 2022 - Elsevier
State-of-the-art machine learning models, and especially deep learning ones, are
significantly data-hungry; they require vast amounts of manually labeled samples to function …

Small bowel detection for wireless capsule endoscopy using convolutional neural networks with temporal filtering

G Son, T Eo, J An, DJ Oh, Y Shin, H Rha, YJ Kim… - Diagnostics, 2022 - mdpi.com
By automatically classifying the stomach, small bowel, and colon, the reading time of the
wireless capsule endoscopy (WCE) can be reduced. In addition, it is an essential first …

The advent of domain adaptation into artificial intelligence for gastrointestinal endoscopy and medical imaging

MJ Kim, SH Kim, SM Kim, JH Nam, YB Hwang, YJ Lim - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) is a subfield of computer science that aims to implement computer
systems that perform tasks that generally require human learning, reasoning, and perceptual …

The Role of Artificial Intelligence in Monitoring Inflammatory Bowel Disease—The Future Is Now

C Diaconu, M State, M Birligea, M Ifrim, G Bajdechi… - Diagnostics, 2023 - mdpi.com
Crohn's disease and ulcerative colitis remain debilitating disorders, characterized by
progressive bowel damage and possible lethal complications. The growing number of …

Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care

M Mascarenhas, T Ribeiro, J Afonso, F Mendes… - Diagnostics, 2023 - mdpi.com
The surge in the implementation of artificial intelligence (AI) in recent years has permeated
many aspects of our life, and health care is no exception. Whereas this technology can offer …