AI-A group for Artificial Intelligence (CADx-RCT Trial)

Computer-aided image-enhanced endoscopy can predict the nature of colorectal polyps with over 90% accuracy. This technology uses artificial intelligence (AI) to analyze video recordings of polyps, learning to make diagnoses in real-time. This means that doctors can get immediate predictions about small polyps during the procedure, reducing the need for separate pathology exams and saving costs, ultimately improving patient care. Traditionally, non-computer-aided diagnosis of polyps varies greatly between doctors. AI can help reduce this variability by providing consistent and accurate computer-aided diagnoses (CADx). In the past, CADx systems could only tell if polyps were cancerous or not. However, recent advancements show that current CADx systems are as accurate as doctors. For widespread use, these systems need to recognize different types of polyps, including serrated ones, which are more challenging to identify. Newer CADx systems are being developed to recognize these serrated polyps, but they still need further validation for autonomous use.