Corrections to 'On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security'

Autor: Oleksandr Kuznetsov, Paolo Sernani, Luca Romeo, Emanuele Frontoni, Adriano Mancini

Publikováno v: IEEE Access, Vol 12, Pp 162550-162550 (2024)

Presents corrections to the paper, (Corrections to “On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security”).

Externí odkaz: https://doaj.org/article/a819ea70b2da482ea5a02b13bd1b0c9b

Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

Autor: Jonathan Montomoli, Luca Romeo, Sara Moccia, Michele Bernardini, Lucia Migliorelli, Daniele Berardini, Abele Donati, Andrea Carsetti, Maria Grazia Bocci, Pedro David Wendel Garcia, Thierry Fumeaux, Philippe Guerci, Reto Andreas Schüpbach, Can Ince, Emanuele Frontoni, Matthias Peter Hilty, Mario Alfaro-Farias, MD, Gerardo Vizmanos-Lamotte, MD, PhD, Thomas Tschoellitsch, MD, Jens Meier, MD, Hernán Aguirre-Bermeo, MD, PhD, Janina Apolo, BSc, Alberto Martínez, MD, Geoffrey Jurkolow, MD, Gauthier Delahaye, MD, Emmanuel Novy, MD, Marie-Reine Losser, MD, PhD, Tobias Wengenmayer, MD, Jonathan Rilinger, MD, Dawid L. Staudacher, MD, Sascha David, MD, Tobias Welte, MD, Klaus Stahl, MD, “Agios Pavlos”, Theodoros Aslanidis, MD, PhD, Anita Korsos, MD, Barna Babik, MD, PhD, Reza Nikandish, MD, Emanuele Rezoagli, MD, PhD, Matteo Giacomini, MD, Alice Nova, MD, Alberto Fogagnolo, MD, Savino Spadaro, MD, PhD, Roberto Ceriani, MD, Martina Murrone, MD, Maddalena A. Wu, MD, Chiara Cogliati, MD, Riccardo Colombo, MD, Emanuele Catena, MD, Fabrizio Turrini, MD, MSc, Maria Sole Simonini, MD, Silvia Fabbri, MD, Antonella Potalivo, MD, Francesca Facondini, MD, Gianfilippo Gangitano, MD, Tiziana Perin, MD, Maria Grazia Bocci, MD, Massimo Antonelli, MD, Diederik Gommers, MD, PhD, Raquel Rodríguez-García, MD, Jorge Gámez-Zapata, MD, Xiana Taboada-Fraga, MD, Pedro Castro, MD, Adrian Tellez, MD, Arantxa Lander-Azcona, MD, Jesús Escós-Orta, MD, Maria C. Martín-Delgado, MD, Angela Algaba-Calderon, MD, Diego Franch-Llasat, MD, Ferran Roche-Campo, MD, PhD, Herminia Lozano-Gómez, MD, Begoña Zalba-Etayo, MD, PhD, Marc P. Michot, MD, Alexander Klarer, Rolf Ensner, MD, Peter Schott, MD, Severin Urech, MD, Nuria Zellweger, Lukas Merki, MD, Adriana Lambert, MD, Marcus Laube, MD, Marie M. Jeitziner, RN, PhD, Beatrice Jenni-Moser, RN, MSc, Jan Wiegand, MD, Bernd Yuen, MD, Barbara Lienhardt-Nobbe, Andrea Westphalen, MD, Petra Salomon, MD, Iris Drvaric, MD, Frank Hillgaertner, MD, Marianne Sieber, Alexander Dullenkopf, MD, Lina Petersen, MD, Ivan Chau, MD, Hatem Ksouri, MD, PhD, Govind Oliver Sridharan, MD, Sara Cereghetti, MD, Filippo Boroli, MD, Jerome Pugin, MD, PhD, Serge Grazioli, MD, Peter C. Rimensberger, MD, Christian Bürkle, MD, Julien Marrel, MD, Mirko Brenni, MD, Isabelle Fleisch, MD, Jerome Lavanchy, MD, Marie-Helene Perez, MD, Anne-Sylvie Ramelet, MD, Anja Baltussen Weber, MD, Peter Gerecke, MD, Andreas Christ, MD, Samuele Ceruti, MD, Andrea Glotta, MD, Katharina Marquardt, MD, Karim Shaikh, MD, Tobias Hübner, MD, Thomas Neff, MD, Hermann Redecker, MD, Mallory Moret-Bochatay, MD, FriederikeMeyer zu Bentrup, MD, MBA, Michael Studhalter, MD, Michael Stephan, MD, Jan Brem, MD, Nadine Gehring, MD, Daniela Selz, MD, Didier Naon, MD, Gian-Reto Kleger, MD, Urs Pietsch, MD, Miodrag Filipovic, MD, Anette Ristic, MD, Michael Sepulcri, MD, Antje Heise, MD, Marilene Franchitti Laurent, MD, Jean-Christophe Laurent, MD, Pedro D. Wendel Garcia, MSc, Reto Schuepbach, MD, Dorothea Heuberger, PhD, Philipp Bühler, MD, Silvio Brugger, MD, PhD, Patricia Fodor, MD, Pascal Locher, MD, Giovanni Camen, MD, Tomislav Gaspert, MD, Marija Jovic, MD, Christoph Haberthuer, MD, Roger F. Lussman, MD, Elif Colak, MD

Publikováno v: Journal of Intensive Medicine, Vol 1, Iss 2, Pp 110-116 (2021)

Background: Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine lear

Externí odkaz: https://doaj.org/article/7e7afa9d7e874b589c9f3eb1b5df67cb

A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy

Autor: Michele Bernardini, Luca Romeo, Adriano Mancini, Emanuele Frontoni

Publikováno v: IEEE Access, Vol 9, Pp 151864-151872 (2021)

Diabetic Retinopathy (DR) is the most common and insidious microvascular complication of diabetes, and can progress asymptomatically until a sudden loss of vision occurs. Although DR is prevalent nowadays, its prevention remains challenging. The mult

Externí odkaz: https://doaj.org/article/197e3abbfe0344f791335621c1322bb2

Machine Learning in Capital Markets: Decision Support System for Outcome Analysis

Autor: Riccardo Rosati, Luca Romeo, Carlos Alfaro Goday, Tullio Menga, Emanuele Frontoni

Publikováno v: IEEE Access, Vol 8, Pp 109080-109091 (2020)

Decision support systems using Artificial Intelligence in the context of financial services include different application ranging from investment advice to financial trading. The analysis of order flow provides many challenges that can be addressed b

Externí odkaz: https://doaj.org/article/19ffb75583ad4a45ac5d64eeff2aafab

Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic

Autor: Marianna Capecci, Lucio Ciabattoni, Francesco Ferracuti, Andrea Monteriù, Luca Romeo, Federica Verdini

Publikováno v: IET Computer Vision, Vol 12, Iss 4, Pp 502-512 (2018)

Here, the authors present a low cost telerehabilitation system made up of a commercial red–green–blue depth (RGB‐D) camera and a web‐based platform. The authors goal is to monitor and assess subject movement providing acceptable and usable at

Externí odkaz: https://doaj.org/article/219a990dada047b8b7d041268954976f