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- W4322485070 abstract "Colon capsule endoscopy (CCE) has emerged as a minimally invasive and patient-friendly alternative to conventional colonoscopy. Additionally, these technological advances have allowed gastroenterologists to explore a single tool for the evaluation of the entire gastrointestinal tract, thus giving rise to the concept of panendoscopy. Although panenteric evaluation by CE sounds promising, its real-life application remains limited by accuracy issues as well as technical and logistical problems. The introduction of artificial intelligence systems for assisted reading of these examinations is expected to address the current limitations of CCE and panendoscopic systems. Results from pilot studies are promising, although insufficient to modify current clinical practice. This chapter aims to provide an up-to-date overview of the application of deep learning algorithms for enhanced reading in the setting of CCE." @default.
- W4322485070 created "2023-02-28" @default.
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- W4322485070 date "2023-01-01" @default.
- W4322485070 modified "2023-09-25" @default.
- W4322485070 title "Colon capsule endoscopy and artificial intelligence: a perfect match for panendoscopy" @default.
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- W4322485070 doi "https://doi.org/10.1016/b978-0-323-99647-1.00007-1" @default.
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