Sfoglia per Autore
Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories
2023 Carobene, A; Cabitza, F; Bernardini, S; Gopalan, R; Lennerz, J; Weir, C; Cadamuro, J
Editorial: Clinical Integration of Artificial Intelligence in Spine Surgery: Stepping in a new Frontier
2023 Gallazzi, E; La Maida, G; Cabitza, F
Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI)
2023 Cadamuro, J; Cabitza, F; Debeljak, Z; De Bruyne, S; Frans, G; Perez, S; Ozdemir, H; Tolios, A; Carobene, A; Padoan, A
Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series
2023 Folgado, D; Barandas, M; Famiglini, L; Santos, R; Cabitza, F; Gamboa, H
The unbearable (technical) unreliability of automated facial emotion recognition
2022 Cabitza, F; Campagner, A; Mattioli, M
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine
2022 Milella, F; Famiglini, L; Banfi, G; Cabitza, F
Re-calibrating Machine Learning Models Using Confidence Interval Bounds
2022 Campagner, A; Famiglini, L; Cabitza, F
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs)
2022 Milella, F; Seveso, A; Famiglini, L; Banfi, G; Cabitza, F
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration
2022 Cabitza, F; Campagner, A; Famiglini, L
How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data
2022 Carobene, A; Milella, F; Famiglini, L; Cabitza, F
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning
2022 Cabitza, F; Campagner, A; Famiglini, L; Gallazzi, E; La Maida, G
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions
2022 Campagner, A; Sternini, F; Cabitza, F
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition
2022 Bento, N; Rebelo, J; Barandas, M; Carreiro, A; Campagner, A; Cabitza, F; Gamboa, H
A Confidence Interval-Based Method for Classifier Re-Calibration
2022 Campagner, A; Famiglini, L; Cabitza, F
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
2022 Famiglini, L; Campagner, A; Carobene, A; Cabitza, F
Open, Multiple, Adjunct. Decision Support at the Time of Relational AI
2022 Cabitza, F; Natali, C
A parsimonious machine learning approach to detect inappropriate treatments in spine surgery on the basis of patient-reported outcomes
2022 Famiglini, L; Milella, F; Berjano, P; Cabitza, F
Comparative Assessment of Two Data Visualizations to Communicate Medical Test Results Online
2022 Cabitza, F; Campagner, A; Conte, E
The multicenter European Biological Variation Study (EuBIVAS): A new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands
2022 Carobene, A; Campagner, A; Uccheddu, C; Banfi, G; Vidali, M; Cabitza, F
Ground truthing from multi-rater labeling with three-way decision and possibility theory
2021 Campagner, A; Ciucci, D; Svensson, C; Figge, M; Cabitza, F
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