Deep Learning in Endoscopy

Deep learning in endoscopy involves using advanced computer algorithms to analyze images and videos from medical endoscopies. These algorithms learn to recognize patterns, abnormalities, or diseases such as tumors or polyps by training on large datasets of labeled images. This technology enhances diagnostic accuracy and helps doctors detect issues more quickly and reliably. Essentially, deep learning acts as a sophisticated tool that assists clinicians in interpreting complex visual data during endoscopic procedures, leading to improved patient outcomes through more precise and efficient diagnoses.