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Federico Cabitza

Showing results (31-40 of 91) with videos related to

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BMC Medical Informatics and Decision Making|August 22, 2020
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settingsAndrea Seveso, Andrea Campagner, Davide Ciucci, et al.
Journal of Personalized Medicine|October 27, 2022
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized MedicineFrida Milella, Lorenzo Famiglini, Giuseppe Banfi, et al.
International Journal of Medical Informatics|June 17, 2026
Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AIFederico Cabitza, Giuseppe Jurman, Filippo Molinari, et al.
Acta Bio-Medica : Atenei Parmensis|September 14, 2020
Routine blood tests as an active surveillance to monitor COVID-19 prevalence. A retrospective studyDavide Ferrari, Federico Cabitza, Anna Carobene, et al.
Frontiers in Surgery|January 5, 2024
Editorial: Clinical Integration of Artificial Intelligence in Spine Surgery: Stepping in a new FrontierEnrico Gallazzi, Giovanni Andrea La Maida, Federico Cabitza
BMC Medical Informatics and Decision Making|July 23, 2024
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measuresAndrea Campagner, Frida Milella, Giuseppe Banfi, et al.
Recenti Progressi in Medicina|November 7, 2017
["Handle with care": about the potential unintended consequences of oracular artificial intelligence systems in medicine.]Federico Cabitza, Camilla Alderighi, Raffaele Rasoini, et al.
Journal of Intelligence|April 30, 2021
Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in CardiologyLuca Ronzio, Andrea Campagner, Federico Cabitza, et al.
Procedia Computer Science|March 1, 2021
A Proposal For COVID-19 Applications Enabling Extensive Epidemiological StudiesAlice Ravizza, Federico Sternini, Filippo Molinari, et al.
Journal of Personalized Medicine|December 29, 2022
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)Frida Milella, Andrea Seveso, Lorenzo Famiglini, et al.
Pageof 10

Showing results (31-40 of 91) with videos related to

Sort By:
Pageof 10
BMC Medical Informatics and Decision Making|August 22, 2020
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settingsAndrea Seveso, Andrea Campagner, Davide Ciucci, et al.
Journal of Personalized Medicine|October 27, 2022
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized MedicineFrida Milella, Lorenzo Famiglini, Giuseppe Banfi, et al.
International Journal of Medical Informatics|June 17, 2026
Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AIFederico Cabitza, Giuseppe Jurman, Filippo Molinari, et al.
Acta Bio-Medica : Atenei Parmensis|September 14, 2020
Routine blood tests as an active surveillance to monitor COVID-19 prevalence. A retrospective studyDavide Ferrari, Federico Cabitza, Anna Carobene, et al.
Frontiers in Surgery|January 5, 2024
Editorial: Clinical Integration of Artificial Intelligence in Spine Surgery: Stepping in a new FrontierEnrico Gallazzi, Giovanni Andrea La Maida, Federico Cabitza
BMC Medical Informatics and Decision Making|July 23, 2024
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measuresAndrea Campagner, Frida Milella, Giuseppe Banfi, et al.
Recenti Progressi in Medicina|November 7, 2017
["Handle with care": about the potential unintended consequences of oracular artificial intelligence systems in medicine.]Federico Cabitza, Camilla Alderighi, Raffaele Rasoini, et al.
Journal of Intelligence|April 30, 2021
Unity Is Intelligence: A Collective Intelligence Experiment on ECG Reading to Improve Diagnostic Performance in CardiologyLuca Ronzio, Andrea Campagner, Federico Cabitza, et al.
Procedia Computer Science|March 1, 2021
A Proposal For COVID-19 Applications Enabling Extensive Epidemiological StudiesAlice Ravizza, Federico Sternini, Filippo Molinari, et al.
Journal of Personalized Medicine|December 29, 2022
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)Frida Milella, Andrea Seveso, Lorenzo Famiglini, et al.
Pageof 10