Topic: AI-Powered Endoscopy: From Technological Advancements to Clinical Implementation

Artificial intelligence (AI) is revolutionizing the field of endoscopy by enabling real-time lesion detection, improving diagnostic accuracy, and enhancing procedural precision. As AI technologies continue to evolve, their integration into minimally invasive endoscopic practices - particularly within gastroenterology - is proven to be increasingly transformative. This Special Issue of Mini-invasive Surgery invites high-quality submissions that explore the latest innovations and clinical applications of AI-powered endoscopy. We welcome high-quality original studies, technical reports, and comprehensive reviews that examine both the technological progress and real-world applications of AI in endoscopic procedures.

Topics of interest include, but are not limited to:

1. AI-assisted detection and classification of gastrointestinal (GI) lesions in colonoscopy and upper GI endoscopy;

2. Deep learning applications in capsule endoscopy interpretation;

3. AI integration in therapeutic endoscopic procedures (e.g., ESD, POEM, and EMR);

4. AI-enhanced navigation and targeting in NOTES and hybrid endoscopic-laparoscopic procedures;

5. AI-based diagnostic support in endoscopic ultrasound (EUS);

6. Real-time decision support systems for intraoperative endoscopy;

7. AI-driven simulation platforms for endoscopy training;

8. Clinical validation, implementation challenges, and workflow optimization;

9. Cost-effectiveness and ethical considerations in AI-guided minimally invasive endoscopy.

AI-assisted endoscopy, computer-aided diagnosis, minimally invasive techniques, therapeutic endoscopy, GI oncology, capsule endoscopy, deep learning, EUS, NOTES, surgical innovation, clinical implementation, machine learning.