Giulio Antonelli, Diogo Libanio, Albert Jeroen De Groof, Fons van der Sommen, Pietro Mascagni, Pieter Sinonquel, Mohamed Abdelrahim, Omer Ahmad, Tyler Berzin, Pradeep Bhandari, Michael Bretthauer, Miguel Coimbra, Evelien Dekker, Alanna Ebigbo, Tom Eelbode, Leonardo Frazzoni, Seth A Gross, Ryu Ishihara, Michal Filip Kaminski, Helmut Messmann, Yuichi Mori, Nicolas Padoy, Sravanthi Parasa, Nastazja Dagny Pilonis, Francesco Renna, Alessandro Repici, Cem Simsek, Marco Spadaccini, Raf Bisschops, Jacques J G H M Bergman, Cesare Hassan, Mario Dinis Ribeiro
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Results, statements 15–16) and integrate and interpret the obtained results (3. Discussion, statements 17–18). 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QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (GI) endoscopy, but the adoption of AI in clinical practice is hampered by the lack of rigorous standardisation and development methodology ensuring generalisability. The aim of the Quality Assessment of pre-clinical AI studies in Diagnostic Endoscopy (QUAIDE) Explanation and Checklist was to develop recommendations for standardised design and reporting of preclinical AI studies in GI endoscopy. The recommendations were developed based on a formal consensus approach with an international multidisciplinary panel of 32 experts among endoscopists and computer scientists. The Delphi methodology was employed to achieve consensus on statements, with a predetermined threshold of 80% agreement. A maximum three rounds of voting were permitted. Consensus was reached on 18 key recommendations, covering 6 key domains: data acquisition and annotation (6 statements), outcome reporting (3 statements), experimental setup and algorithm architecture (4 statements) and result presentation and interpretation (5 statements). QUAIDE provides recommendations on how to properly design (1. Methods, statements 1–14), present results (2. Results, statements 15–16) and integrate and interpret the obtained results (3. Discussion, statements 17–18). The QUAIDE framework offers practical guidance for authors, readers, editors and reviewers involved in AI preclinical studies in GI endoscopy, aiming at improving design and reporting, thereby promoting research standardisation and accelerating the translation of AI innovations into clinical practice.
期刊介绍:
Gut is a renowned international journal specializing in gastroenterology and hepatology, known for its high-quality clinical research covering the alimentary tract, liver, biliary tree, and pancreas. It offers authoritative and current coverage across all aspects of gastroenterology and hepatology, featuring articles on emerging disease mechanisms and innovative diagnostic and therapeutic approaches authored by leading experts.
As the flagship journal of BMJ's gastroenterology portfolio, Gut is accompanied by two companion journals: Frontline Gastroenterology, focusing on education and practice-oriented papers, and BMJ Open Gastroenterology for open access original research.