Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus amongst Non-expert Endoscopists

Autor: Vinay Sehgal, Avi Rosenfeld, David G. Graham, Gideon Lipman, Raf Bisschops, Krish Ragunath, Manuel Rodriguez-Justo, Marco Novelli, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

Publikováno v: Gastroenterology Research and Practice, Vol 2018 (2018)

Introduction. Barrett’s oesophagus (BE) is a precursor to oesophageal adenocarcinoma (OAC). Endoscopic surveillance is performed to detect dysplasia arising in BE as it is likely to be amenable to curative treatment. At present, there are no guidel

Externí odkaz: https://doaj.org/article/67a7852db90a4a0684f43bf14cb1db94

Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement

Autor: Raf Bisschops, Helmut Messmann, Giulio Antonelli, Diogo Libânio, Pieter Sinonquel, Mohamed Abdelrahim, Omer F. Ahmad, Miguel Areia, Jacques J. G. H. M. Bergman, Pradeep Bhandari, Ivo Boskoski, Evelien Dekker, Dirk Domagk, Alanna Ebigbo, Tom Eelbode, Rami Eliakim, Michael Häfner, Rehan J. Haidry, Rodrigo Jover, Michal F. Kaminski, Roman Kuvaev, Yuichi Mori, Maxime Palazzo, Alessandro Repici, Emanuele Rondonotti, Matthew D. Rutter, Yutaka Saito, Prateek Sharma, Cristiano Spada, Marco Spadaccini, Andrew Veitch, Ian M. Gralnek, Cesare Hassan, Mario Dinis-Ribeiro

Publikováno v: Endoscopy, 54(12), 1211-1231. Georg Thieme Verlag

This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the diagnosis and management of gastrointestinal neoplasia within the framework of the performance measures already defined by ESGE. This is based on the clin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500bdd00074fe398169b4857ecf34dd0
https://doi.org/10.1055/a-1950-5694

Durable metabolic improvements 2 years after duodenal mucosal resurfacing (DMR) in patients with type 2 diabetes (REVITA-1 Study)

Autor: Annieke C.G. van Baar, Jacques Devière, David Hopkins, Laurent Crenier, Frits Holleman, Manoel P. Galvão Neto, Pablo Becerra, Paulina Vignolo, Leonardo Rodriguez Grunert, Geltrude Mingrone, Guido Costamagna, Max Nieuwdorp, Caterina Guidone, Rehan J. Haidry, Bu Hayee, Cormac Magee, Juan Carlos Lopez-Talavera, Kelly White, Vijeta Bhambhani, Emily Cozzi, Harith Rajagopalan, Jacques J.G.H.M. Bergman

Publikováno v: Diabetes research and clinical practice, 184:109194. Elsevier Ireland Ltd
van Baar, A C G, Devière, J, Hopkins, D, Crenier, L, Holleman, F, Galvão Neto, M P, Becerra, P, Vignolo, P, Rodriguez Grunert, L, Mingrone, G, Costamagna, G, Nieuwdorp, M, Guidone, C, Haidry, R J, Hayee, B, Magee, C, Carlos Lopez-Talavera, J, White, K, Bhambhani, V, Cozzi, E, Rajagopalan, H & J.G.H.M. Bergman, J 2022, ' Durable metabolic improvements 2 years after duodenal mucosal resurfacing (DMR) in patients with type 2 diabetes (REVITA-1 Study) ', Diabetes Research and Clinical Practice, vol. 184, 109194 . https://doi.org/10.1016/j.diabres.2022.109194
Diabetes Research and Clinical Practice, 184:109194. Elsevier Ireland Ltd

Aims: Duodenal mucosal resurfacing (DMR) is an endoscopic procedure developed to improve metabolic parameters and restore insulin sensitivity in patients with diabetes. Here we report long-term DMR safety and efficacy from the REVITA-1 study. Materia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f8d835d6e32907a7ddada50a358117
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