AIMC Topic: Colon
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Development of a machine learning-based tension measurement method in robotic surgery.
Surgical endoscopy
Mar 21, 2025
BACKGROUND: Over 300,000 colorectal surgeries are performed annually in the U.S. with up to 10% complicated by anastomotic leaks, which cause significant morbidity and mortality. Despite its significant association with anastomotic leaks, tension is ...
A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization.
PloS one
Mar 13, 2025
Real-time endoscopic rectal lesion characterization employing artificial intelligence (AI) and near-infrared (NIR) imaging of the fluorescence perfusion indicator agent Indocyanine Green (ICG) has demonstrated promise. However, commercially available...
Towards full integration of explainable artificial intelligence in colon capsule endoscopy's pathway.
Scientific reports
Feb 18, 2025
Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of colorectal diseases, there remains a large gap between the current state of CCE in clinical practice, and the state of its counterpart optical colonosc...
Synthesized colonoscopy dataset from high-fidelity virtual colon with abnormal simulation.
Computers in biology and medicine
Jan 17, 2025
With the advent of the deep learning-based colonoscopy system, the need for a vast amount of high-quality colonoscopy image datasets for training is crucial. However, the generalization ability of deep learning models is challenged by the limited ava...
Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology.
The American journal of pathology
Jan 10, 2025
Grading activity of inflammatory bowel disease (IBD) using standardized histopathological scoring systems remains challenging due to limited availability of pathologists with IBD expertise and interobserver variability. In this study, a deep learning...
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation.
International journal of computer assisted radiology and surgery
Jan 9, 2025
PURPOSE: This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even with limited data annotation, which enhances the overall effectiveness of the CT colonography pipeline in clinical settin...
Evaluating the pathological and clinical implications of errors made by an artificial intelligence colon biopsy screening tool.
BMJ open gastroenterology
Jan 6, 2025
OBJECTIVE: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an A...
Characterizing the Coefficient of Friction Between a Capsule Robot and the Colon.
IEEE transactions on bio-medical engineering
Sep 19, 2024
OBJECTIVE: A capsule robot (CR) with an onboard active locomotion mechanism, has been developed as a promising alternative to colonoscopy due to its minimally-invasive advantage. Predicting the traction force and locomotion resistance of the CR, whic...
Depth estimation from monocular endoscopy using simulation and image transfer approach.
Computers in biology and medicine
Aug 22, 2024
Obtaining accurate distance or depth information in endoscopy is crucial for the effective utilization of navigation systems. However, due to space constraints, incorporating depth cameras into endoscopic systems is often impractical. Our goal is to ...
Artificial intelligence for detection of anatomical structures and surgical planes in colorectal surgery-A video vignette.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Aug 19, 2024
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