In 15 chapters, this important reference provides a global and comprehensive perspective from the background information of AI, machine learning, deep learning and their implications in GI endoscopy. It showcases AI practical use in lesion detection and in relevant clinical indications (like obscure gastrointestinal bleeding and inflammatory bowel disease), and points to future applications of AI within the field.
- Provides the current and developing practical application of AI tools in capsule endoscopy
- Explains the disruptive nature of AI tools in capsule endoscopy video analysis to provide a better perspective on how AI will change the landscape of capsule endoscopy practice in the future
- Includes specific lesion detection, delivering key summaries and practical applications regarding AI tools use
- Bridges theorical foundations and practical utility of AI in capsule endoscopy
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