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High-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders' evaluation, despite being limited by its accessibility and complex data analysis. The London Protocol and Classification were developed to standardize anorectal motility patterns classification. This proof-of-concept study aims to develop and validate an artificial intelligence model for identification and differentiation of disorders of anal tone and contractility in HR-ARM.
View Article and Find Full Text PDFEffects of cold-pressed wheat germ oil and Bacillus subtilis on growth performance, digestibility, immune status, intestinal microbial enumeration, and gene expression of broilers under heat stress.
Poult Sci
December 2024
Department of Biochemistry, College of Sciences, King Saud University, Riyadh, Saudi Arabia.
This study evaluated the effect of wheat germ oil (WGO), Bacillus subtilis, and their combination on growth performance, immune response, nutrient digestibility, intestinal microbial, oxidative status, and gene expression in heat-stressed broilers. Four hundred one-day-old male Ross 308 broilers were distributed into five pens (20 birds/pen) in four experimental groups: a control (CON) without additives, WGO group fed diet with WGO at 200 mg.kg, BS group fed diet with B.
View Article and Find Full Text PDFEsophageal squamous cell carcinoma (ESCC) remains a significant global health challenge, being the sixth leading cause of cancer mortality with pronounced geographic variability. The incidence rates range from 125 per 100,000 in northern China to 1-1.5 per 100,000 in the United States, driven by environmental and lifestyle factors such as tobacco and alcohol use, dietary habits, and pollution.
View Article and Find Full Text PDFDeep Learning and Minimally Invasive Endoscopy: Panendoscopic Detection of Pleomorphic Lesions.
GE Port J Gastroenterol
December 2024
Department of Gastroenterology, Precision Medicine Unit, São João University Hospital, Porto, Portugal.
Article Synopsis
- Capsule endoscopy (CE) is a minimally invasive procedure used to examine the gastrointestinal tract, but it can be time-consuming and has limited diagnostic effectiveness in the upper GI tract.
- Researchers developed an artificial intelligence (AI) model using convolutional neural networks (CNN) to automatically detect various types of pleomorphic lesions from a large dataset of CE images, evaluating its performance against expert classifications.
- The AI model demonstrated high diagnostic accuracy across different areas of the GI tract, with the best results being 96.6% accuracy for gastric lesions and 97.6% for small bowel lesions, suggesting that AI tools could significantly enhance the effectiveness of capsule panendoscopy.
Artificial Intelligence in Coloproctology: A Review of Emerging Technologies and Clinical Applications.
J Clin Med
September 2024
Precision Medicine Unit, Department of Gastroenterology, São João University Hospital, 4200-427 Porto, Portugal.
Article Synopsis
- AI is revolutionizing gastroenterology, particularly in coloproctology, by improving diagnosis, treatment, and overall patient care.
- Notable applications include colonoscopy, where AI helps detect polyps and early signs of colorectal cancer, and capsule endoscopy, which ensures quick and accurate video readings for various anomalies.
- The article reviews current AI implementations in coloproctology and discusses potential future developments in the field.
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