AIMC Topic: Intestinal Diseases

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Soft hybrid intrinsically motile robot for wireless small bowel enteroscopy.

Surgical endoscopy Jan 31, 2022
BACKGROUND: Difficulties in establishing diagnosis of small bowel (SB) disorders, prevented their effective treatment. This problem was largely resolved by wireless capsule endoscopy (WCE), which has since become the first line investigation for susp...
Humans Robotics Capsule Endoscopy Polyvinyl Chloride Intestine, Small Nylons Intestinal Diseases
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Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy.

Scientific reports Sep 1, 2021
The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is time-intensive. Algorithms introduced to automate this process are premature for real clinical applications, and multi-diagnosis using these methods has not been ...
Algorithms Prognosis Retrospective Studies Female Aged Humans Neural Networks, Computer Intestinal Diseases Aged, 80 and over Middle Aged Young Adult Adolescent Adult Follow-Up Studies Male Capsule Endoscopy
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Kvasir-Capsule, a video capsule endoscopy dataset.

Scientific data May 27, 2021
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising ben...
Humans Machine Learning Capsule Endoscopy Intestine, Small Intestinal Diseases
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Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: To examine whether our convolutional neural network (CNN) system based on deep learning can reduce the reading time of endoscopists without oversight of abnormalities in the capsule-endoscopy reading process.
Intestinal Diseases Time Factors Intestinal Mucosa Capsule Endoscopy Intestine, Small Diagnosis, Computer-Assisted Deep Learning Clinical Competence Humans Retrospective Studies
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Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.

Gastroenterology Jun 25, 2019
BACKGROUND & AIMS: Capsule endoscopy has revolutionized investigation of the small bowel. However, this technique produces a video that is 8-10 hours long, so analysis is time consuming for gastroenterologists. Deep convolutional neural networks (CNN...
Capsule Endoscopy Intestine, Small Intestinal Diseases Gastroenterologists Diagnosis, Differential Predictive Value of Tests Image Interpretation, Computer-Assisted Observer Variation Reproducibility of Results Deep Learning China Clinical Competence Humans Prognosis Retrospective Studies
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Machine learning for intraoperative prediction of viability in ischemic small intestine.

Physiological measurement Oct 24, 2018
OBJECTIVE: Evaluation of intestinal viability is essential in surgical decision-making in patients with acute intestinal ischemia. There has been no substantial change in the mortality rate (30%-93%) of patients with acute mesenteric ischemia (AMI) s...
Image Interpretation, Computer-Assisted Female Electric Impedance Intestinal Diseases Machine Learning Animals Ischemia Sus scrofa Prognosis Male Jejunum Clinical Decision-Making Monitoring, Intraoperative
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Outcome of kidney function in adults on long-term home parenteral nutrition for chronic intestinal failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 11, 2018
OBJECTIVE: The aim of this study was to evaluate kidney function outcome in adults on home parenteral nutrition (HPN) for chronic intestinal failure using the newly recommended equations for estimated glomerular filtration rate (eGFR) assessment in c...
Intestinal Diseases Aged Treatment Outcome Cross-Sectional Studies Kidney Male Kaplan-Meier Estimate Aged, 80 and over Glomerular Filtration Rate Humans Renal Insufficiency, Chronic Middle Aged Chronic Disease Young Adult Parenteral Nutrition, Home Prospective Studies Adolescent Adult Retrospective Studies Female
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A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

Gastrointestinal endoscopy Jul 11, 2018
BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure. The aim of this study was to develop a comp...
Aged, 80 and over Sensitivity and Specificity Male Middle Aged Capsule Endoscopy Intestine, Small Intestinal Diseases Diagnosis, Computer-Assisted Predictive Value of Tests Neural Networks, Computer Algorithms Female Aged Humans Angiodysplasia
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Intestinal helminth infections amongst HIV-infected adults in Mthatha General Hospital, South Africa.

African journal of primary health care & family medicine Dec 9, 2015
BACKGROUND: In South Africa, studies on the prevalence of intestinal helminth co-infection amongst HIV-infected patients as well as possible interactions between these two infection sare limited.
Helminths Hospitals, General Intestinal Diseases, Parasitic Female Adult Cross-Sectional Studies Animals Humans Male Interviews as Topic Intestinal Diseases Prevalence South Africa HIV Seropositivity Comorbidity Helminthiasis Qualitative Research
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Improving image quality and diagnostic performance using deep learning image reconstruction in 100-kVp CT enterography for patients with wide-range body mass index.

European journal of radiology Aug 1, 2025
OBJECTIVE: To assess the clinical value of the deep learning image reconstruction (DLIR) algorithm compared with conventional adaptive statistical iterative reconstruction-Veo (ASiR-V) in image quality, diagnostic confidence, and intestinal lesion de...
Reproducibility of Results Aged Aged, 80 and over Adult Algorithms Retrospective Studies Humans Tomography, X-Ray Computed Female Body Mass Index Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Male Quality Improvement Middle Aged Deep Learning Signal-To-Noise Ratio Intestinal Diseases
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