AI Revolutionizes Endoscopy, Boosting Detection Rates and Workflow Efficiency

Artificial intelligence significantly enhances endoscopic precision, outperforming human detection rates, particularly in polyp identification. Systems like GI Genius demonstrate remarkable sensitivity and specificity, while convolutional neural networks facilitate real-time classification of lesions. Furthermore, AI streamlines workflows through automated reporting and training tools. Despite these advancements, successful implementation hinges on overcoming limitations like data quality and regulatory hurdles. The potential for future breakthroughs in algorithms and telemedicine could redefine patient outcomes in gastroenterology.