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.
Journal Article by Mascarenhas M, Mendes F (…) Macedo G et 8 al. in GE Port J Gastroenterol
© 2024 The Author(s). Published by S. Karger AG, Basel.
© 2024 The Author(s). Published by S. Karger AG, Basel.