Artificial Intelligence in Gastrointestinal Endoscopy

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Welcome to the Artificial Intelligence in Gastrointestinal Endoscopy

Endoscopic images of a tubular adenoma in blue light imaging.

The endoscopic findings of the Kyoto classification of gastritis taken into account in the Kyoto score (magnified white light imaging).

The idea of using magnetic endoscopic imaging to guide endoscopists in colonoscopy.

Basic principles of endoscopic ultrasound elastography in pancreatic lesion evaluation.

Operational levels of artificial intelligence.

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Artificial intelligence: Applications in critical care gastroenterology

Featured Articles More >>

Artificial intelligence: Applications in critical care gastr... 2024-03-08
Artificial intelligence for characterization of diminutive c... 2024-03-08
Role of endoscopic ultrasound in non-variceal upper gastroin... 2023-12-08
Artificial intelligence fails to improve colonoscopy quality... 2023-12-08
Kyoto classification of gastritis, virtual chromoendoscopy a... 2023-01-06

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INDEXING/ABSTRACTING

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BPG JOURNALS

GUIDELINES FOR AUTHORS

Artificial Intelligence in Gastrointestinal Endoscopy (AIGE, Artif Intell Gastrointest Endosc) is a high-quality, online, open-access, single-blind peer-reviewed journal published by the Baishideng Publishing Group. AIGE accepts both solicited and unsolicited manuscripts. Articles published in AIGE are high-quality, clinical and basic, influential research articles by established academic authors as well as new researchers. The paramount objective of AIGE is to showcase and promote distinguished research in the field of artificial intelligence in gastrointestinal endoscopy, to help advance development of this field. The types of articles published in the AIGE include Editorial, Opinion Review, Frontier, Review, Minireview, Clinical Research, Basic Study, Systematic Review, Meta-analysis, Evidence-based Medicine, Field of Vision, Clinical Guidelines, Letter to the Editor, and Case Report. Submit here >>

2024 Published Issues

Editors-in-Chief

Fatih Altintoprak, MD, Professor, Surgeon, (Email: fatihaltintoprak@yahoo.com) Department of General Surgery, Sakarya University Training And Research Hospital, Sakarya 34560, Turkey
Sahin Coban, MD, Research Assistant Professor, (E-mail: scoban72@yahoo.com) Department of Gastroenterology, Mount Auburn Hospital, Harvard University, Cambridge, MA 02138, United States
Krish Ragunath, FRCP, MD, MRCP, Professor, (Email: krish.ragunath@curtin.edu.au) Department of Gastroenterology and Hepatology, Royal Perth Hospital, Perth WA6000, Australia

Indexing/Abstracting

The AIGE is now abstracted and indexed in Reference Citation Analysis, China Science and Technology Journal Database.

Journal Metrics

There is currently no impact factor.

ISSN

2689-7164 (online)

Current Issue

Other Issues: Previous | Next | Latest | Archive | Issue 1 (55)

Contents Volume 5 Issue 1 March 8, 2024

Minireviews

Artificial intelligence: Applications in critical care gastroenterology

Deven Juneja

Artif Intell Gastrointest Endosc 5(1):89138. Published online Mar 8, 2024. doi: 10.37126/aige.v5.i1.89138

(0) | Open

Prospective Study

Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems

Quirine Eunice Wennie van der Zander, Ramon M Schreuder, Ayla Thijssen, Carolus H J Kusters, Nikoo Dehghani, Thom Scheeve, Bjorn Winkens, Mirjam C M van der Ende - van Loon, Peter H N de With, Fons van der Sommen, Ad A M Masclee, Erik J Schoon

Artif Intell Gastrointest Endosc 5(1):90574. Published online Mar 8, 2024. doi: 10.37126/aige.v5.i1.90574

(0) | Open