Sfoglia per Autore
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
2021 Cabitza, F; Campagner, A; Ferrari, D; Di Resta, C; Ceriotti, D; Sabetta, E; Colombini, A; De Vecchi, E; Banfi, G; Locatelli, M; Carobene, A
Interpretable heartbeat classification using local model-agnostic explanations on ECGs
2021 Neves, I; Folgado, D; Santos, S; Barandas, M; Campagner, A; Ronzio, L; Cabitza, F; Gamboa, H
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions
2021 Campagner, A; Conte, E; Cabitza, F
The importance of being external. methodological insights for the external validation of machine learning models in medicine
2021 Cabitza, F; Campagner, A; Soares, F; Garcia de Guadiana-Romualdo, L; Challa, F; Sulejmani, A; Seghezzi, M; Carobene, A
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading
2021 Cabitza, F; Campagner, A; Sconfienza, L
Identification of SARS-CoV-2 positivity using machine learning methods on blood count data: External validation of state-of-the-art models. [Identificazione di positività al SARS-CoV-2 attraverso metodi di Machine Learning sui dati dell'esame emocromocitometrico: Validazione esterna di modelli allo stato dell'arte]
2021 Carobene, A; Campagner, A; Sulejmani, A; Leoni, V; Seghezzi, M; Buoro, S; Cabitza, F
Assessing the impact of medical AI: A survey of physicians' perceptions
2021 Cabitza, F; Campagner, A; Cavosi, V
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count
2021 Campagner, A; Carobene, A; Cabitza, F
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review
2021 Carobene, A; Sabetta, E; Monteverde, E; Locatelli, M; Banfi, G; Di Resta, C; Guerranti, R; Vidali, M; Campagner, A; Cabitza, F
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
2021 Cabitza, F; Campagner, A
Has the flood entered the basement? A systematic literature review about machine learning in laboratory medicine
2021 Ronzio, L; Cabitza, F; Barbaro, A; Banfi, G
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues
2021 Cabitza, F; Campagner, A; Simone, C
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data
2021 Famiglini, L; Bini, G; Carobene, A; Campagner, A; Cabitza, F
Machine Learning for Health: Algorithm Auditing & Quality Control
2021 Oala, L; Murchison, A; Balachandran, P; Choudhary, S; Fehr, J; Leite, A; Goldschmidt, P; Johner, C; Schorverth, E; Nakasi, R; Meyer, M; Cabitza, F; Baird, P; Prabhu, C; Weicken, E; Liu, X; Wenzel, M; Vogler, S; Akogo, D; Alsalamah, S; Kazim, E; Koshiyama, A; Piechottka, S; Macpherson, S; Shadforth, I; Geierhofer, R; Matek, C; Krois, J; Sanguinetti, B; Arentz, M; Bielik, P; Calderon-Ramirez, S; Abbood, A; Langer, N; Haufe, S; Kherif, F; Pujari, S; Samek, W; Wiegand, T
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology
2021 Ronzio, L; Campagner, A; Cabitza, F; Gensini, G
Evidence of significant difference in key covid-19 biomarkers during the italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in northern italy
2020 Carobene, A; Ferrari, D; Campagner, A; Cabitza, F; Sabetta, E; Ceriotti, D; Di Resta, C; Locatelli, M
Routine blood tests as an active surveillance to monitor COVID-19 prevalence. A retrospective study
2020 Ferrari, D; Cabitza, F; Carobene, A; Locatelli, M
La Scienza Dei Dati
2020 Batini, C; Cabitza, F; Cherubini, P; Ferrari, A; Masiero, R; Maurino, A; Palmonari, M; Stella, F
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI
2020 Campagner, A; Cabitza, F
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters
2020 Cabitza, F; Campagner, A; Balsano, C
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