Key research questions for implementation of artificial intelligence in capsule endoscopy
Background: Artificial intelligence (AI) is rapidly infiltrating multiple areas in medicine, with gastrointestinal endoscopy paving the way in both research and clinical applications. Multiple challenges associated with the incorporation of AI in endoscopy are being addressed in recent consensus doc...
Main Authors: | Romain Leenhardt, Anastasios Koulaouzidis, Aymeric Histace, Gunnar Baatrup, Sabina Beg, Arnaud Bourreille, Thomas de Lange, Rami Eliakim, Dimitris Iakovidis, Michael Dam Jensen, Martin Keuchel, Reuma Margalit Yehuda, Deirdre McNamara, Miguel Mascarenhas, Cristiano Spada, Santi Segui, Pia Smedsrud, Ervin Toth, Gian Eugenio Tontini, Eyal Klang, Xavier Dray, Uri Kopylov |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2022-10-01
|
Series: | Therapeutic Advances in Gastroenterology |
Online Access: | https://doi.org/10.1177/17562848221132683 |
Similar Items
-
Spatiotemporal analysis of small bowel capsule endoscopy videos for outcomes prediction in Crohn’s disease
by: Raizy Kellerman, et al.
Published: (2023-06-01) -
Scoring systems in clinical small-bowel capsule endoscopy: all you need to know!
by: Bruno Rosa, et al.
Published: (2021-05-01) -
Scoring systems in clinical small-bowel capsule endoscopy: all you need to know!
by: Bruno Rosa, et al.
Published: (2021-06-01) -
A Convolutional Neural Network Deep Learning Model Trained on CD Ulcers Images Accurately Identifies NSAID Ulcers
by: Eyal Klang, et al.
Published: (2021-08-01) -
Annotation Tools in Gastrointestinal Polyp Annotation
by: Ola Selnes, et al.
Published: (2022-09-01)