Reading capsule endoscopy: Why not AI alone?

CC BY-NC-ND 4.0 · Endosc Int Open 2023; 11(12): E1175-E1176
DOI: 10.1055/a-2202-8301

Editorial

Maren Haslach-Häfner

¹HELIOS Frankenwaldklinik Kronach, Kronach, Germany (Ringgold ID: RIN243516)

,

Klaus Mönkemüller

²Gastroenterology, Virginia Tech Carilion Research Institute, Roanoke, United States (Ringgold ID: RIN145763)

References
1 Soffer S, Klang E, Shimon O. et al. Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis. Gastrointest Endosc 2020; 92: 831-839
2 Rondonotti E, Pennazio M, Toth E. et al. How to read small bowel capsule endoscopy: a practical guide for everyday use. Endosc Int Open 2020; 8: E1220-E1224
3 Messmann H, Bisschops R, Antonelli G. et al. Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy 2022; 54: 1211-1231
4 O’Hara Fintan John. et al. Capsule endoscopy with artificial intelligence-assisted technology: Real-world usage of a validated AI model for capsule image review. Endoscop Int Open 2023; 11: E970-E975