ArticleScientific reports2022
Edge artificial intelligence wireless video capsule endoscopy.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 46 citations in OpenAlex.
- Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study.World journal of urology · 2026Article
- Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Emerging Endorobotic and AI Technologies in Colorectal Cancer Screening: A Review of Design, Validation, and Translational Pathways.Diagnostics (Basel, Switzerland) · 2026Review
- eNCApsulate: neural cellular automata for precision diagnosis on capsule endoscopes.International journal of computer assisted radiology and surgery · 2026Article
- Beyond Human Vision: Revolutionizing the Localization of Diminutive Sessile Polyps in Colonoscopy.Bioengineering (Basel, Switzerland) · 2025Article
- Integration of Artificial Intelligence-Enhanced Capsule Endoscopy in Clinical Practice: A Review of Market-Available Tools for Clinical Practice.Digestive diseases and sciences · 2025Review
- Deep Learning for Comprehensive Analysis of Retinal Fundus Images: Detection of Systemic and Ocular Conditions.Bioengineering (Basel, Switzerland) · 2025Article
- Towards full integration of explainable artificial intelligence in colon capsule endoscopy's pathway.Scientific reports · 2025Article
- Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection.Frontiers in artificial intelligence · 2025Article
- Spectrum aided vision enhancer enhances mucosal visualization by hyperspectral imaging in capsule endoscopy.Scientific reports · 2024Article
- Polypoid Lesion Segmentation Using YOLO-V8 Network in Wireless Video Capsule Endoscopy Images.Diagnostics (Basel, Switzerland) · 2024Article
- Miniaturized Capsule System Toward Real-Time Electrochemical Detection of HAdvanced healthcare materials · 2024Article
- Article
- AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images.Diagnostics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastrointestinal (GI) tract diseases are responsible for substantial morbidity and mortality worldwide, including colorectal cancer, which has shown a rising incidence among adults younger than 50. Although this could be alleviated by regular screening, only a small percentage of those at risk are screened comprehensively, due to shortcomings in accuracy and patient acceptance. To address these challenges, we designed an artificial intelligence (AI)-empowered wireless video endoscopic capsule that surpasses the performance of the existing solutions by featuring, among others: (1) real-time image processing using onboard deep neural networks (DNN), (2) enhanced visualization of the mucous layer by deploying both white-light and narrow-band imaging, (3) on-the-go task modification and DNN update using over-the-air-programming and (4) bi-directional communication with patient's personal electronic devices to report important findings. We tested our solution in an in vivo setting, by administrating our endoscopic capsule to a pig under general anesthesia. All novel features, successfully implemented on a single platform, were validated. Our study lays the groundwork for clinically implementing a new generation of endoscopic capsules, which will significantly improve early diagnosis of upper and lower GI tract diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.