AI Model Achieves High Accuracy in Panendoscopic Lesion Detection

An AI model was developed for the automatic detection of pleomorphic lesions during capsule endoscopy, achieving notable results across various gastrointestinal sites. The binary esophagus CNN attained 83.6% accuracy, while the gastric CNN reached 96.6%. The small bowel CNN excelled with 97.6% accuracy in identifying lesions with different hemorrhagic potentials. Additionally, the colonic CNN demonstrated a 94.9% overall accuracy. This advancement addresses critical interoperability challenges in minimally invasive endoscopic diagnostics.