cancers Review Training Simulators for Gastrointestinal Endoscopy: Current and Future Perspectives Martina Finocchiaro 1,2,3,*, Pablo Cortegoso Valdivia 4 , Albert Hernansanz 2 , Nicola Marino 5, Denise Amram 6, Alicia Casals 2 , Arianna Menciassi 1,3, Wojciech Marlicz 7,8, Gastone Ciuti 1,3,† and Anastasios Koulaouzidis 9,† 1 The BioRobotics Institute, Scuola Superiore Sant’Anna, 56025 Pisa, Italy;
[email protected] (A.M.);
[email protected] (G.C.) 2 Center of Research in Biomedical Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain;
[email protected] (A.H.);
[email protected] (A.C.) 3 Department of Excellence in Robotics & AI, Scuola Superiore Sant’Anna, 56127 Pisa, Italy 4 Gastroenterology and Endoscopy Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy;
[email protected] 5 Department of Medical and Surgical Sciences University of Foggia, 71121 Foggia, Italy;
[email protected] 6 LIDER-Lab, DIRPOLIS Institute, Scuola Superiore Sant’Anna, 56025 Pisa, Italy;
[email protected] 7 Department of Gastroenterology, Pomeranian Medical University, 71-252 Szczecin, Poland;
[email protected] 8 The Centre for Digestive Diseases Endoklinika, 70-535 Szczecin, Poland 9 Department of Social Medicine & Public Health, Pomeranian Medical University, 71-252 Szczecin, Poland;
[email protected] Citation: Finocchiaro, M.; * Correspondence: martina.fi
[email protected] Cortegoso Valdivia, P.; † These senior authors equally contributed to this work. Hernansanz, A.; Marino, N.; Amram, D.; Casals, A.; Menciassi, A.; Simple Summary: Over the last decades, visual endoscopy has become a gold standard for the detec- Marlicz, W.; Ciuti, G.; Koulaouzidis, tion and treatment of gastrointestinal cancers.