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Automated artificial intelligence scoring systems for the endoscopic assessment of ulcerative colitis: How far are we from clinical application?
Artificial intelligence (AI) is going to drastically change our approach to diagnostic endoscopy. In contrast to its human counterpart, AI can manage an exceptional amount of data simultaneously, does not get fatigued, and can be highly effective and efficient. In the past couple of years, we have witnessed a literal blossom of AI systems applied to digestive endoscopy. Industries have been leading this first part of AI application, with the launch of real-time automated polyp detection and characterization systems to screening colonoscopy.Reduction in mortality after percutaneous endoscopic gastrostomy tube insertion is likely due to careful patient selection
The insertion of a percutaneous endoscopic gastrostomy (PEG) tube is an invaluable tool to gain long-term nutritional support for patients who cannot meet their nutritional needs for any of several reasons, with a vast volume of data showing that for certain conditions this procedure can improve patient outcomes. Unfortunately, PEG tube insertion has several adverse events, such as aspiration pneumonia, bleeding, infection, leakage, and tube dysfunction or displacement. Minor adverse events can be common and under-reported; more major adverse events arise in approximately 3% of PEG tube insertions.
