Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making.
AuteursDuranteau O, Popoff B, Abels A, Lucidi V, Savier E, Blanchard F, Martinez T, Loi P, Germanova D, Demulder A, Creteur J, Tuna T
External multicenter validation of the FAMISH score for predicting metachronous gastric lesions after endoscopic submucosal dissection.
AuteursGarrido M, Almeida TC, Kuttner-Magalhães R, Marcos-Pinto R, Archer S, Pinho R, Estevinho MM, Santos-Antunes J, Morais R, Barreiro P, Simão I, Bourke M, Wang H, Amaro P, Gravito-Soares E, Kuvaev R, Kashin S, Areia M, Viegas MI, Koch AD, Spaander MCW, Provoost N, Manfredi G, Esposito G, Losurdo G, Lemmers A, Fernández-Esparrach G, Santiago ER, Dinis-Ribeiro M, Libânio D