Unintended consequences of machine learning in medicine F Cabitza, R Rasoini, GF Gensini Jama 318 (6), 517-518, 2017 | 849 | 2017 |
Detection of COVID-19 infection from routine blood exams with machine learning: a feasibility study D Brinati, A Campagner, D Ferrari, M Locatelli, G Banfi, F Cabitza Journal of medical systems 44, 1-12, 2020 | 367 | 2020 |
Machine learning in orthopedics: a literature review F Cabitza, A Locoro, G Banfi Frontiers in bioengineering and biotechnology 6, 75, 2018 | 202 | 2018 |
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests F Cabitza, A Campagner, D Ferrari, C Di Resta, D Ceriotti, E Sabetta, ... Clinical Chemistry and Laboratory Medicine (CCLM) 59 (2), 421-431, 2021 | 170 | 2021 |
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies F Cabitza, A Campagner International Journal of Medical Informatics 153, 104510, 2021 | 163 | 2021 |
The importance of being external. methodological insights for the external validation of machine learning models in medicine F Cabitza, A Campagner, F Soares, LG de Guadiana-Romualdo, F Challa, ... Computer Methods and Programs in Biomedicine 208, 106288, 2021 | 118 | 2021 |
Infectious and thromboembolic complications of arthroscopic shoulder surgery P Randelli, A Castagna, F Cabitza, P Cabitza, P Arrigoni, M Denti Journal of shoulder and elbow surgery 19 (1), 97-101, 2010 | 115 | 2010 |
Machine learning in laboratory medicine: waiting for the flood? F Cabitza, G Banfi Clinical Chemistry and Laboratory Medicine (CCLM) 56 (4), 516-524, 2018 | 111 | 2018 |
When once is not enough: the role of redundancy in a hospital ward setting F Cabitza, M Sarini, C Simone, M Telaro Proceedings of the 2005 ACM International Conference on Supporting Group …, 2005 | 102 | 2005 |
Data work in healthcare: An Introduction C Bossen, KH Pine, F Cabitza, G Ellingsen, EM Piras Health Informatics Journal 25 (3), 465-474, 2019 | 92 | 2019 |
Static and interactive infographics in daily tasks: A value-in-use and quality of interaction user study A Locoro, F Cabitza, R Actis-Grosso, C Batini Computers in Human Behavior 71, 240-257, 2017 | 88 | 2017 |
A data quality methodology for heterogeneous data B Carlo, B Daniele, C Federico, G Simone Int. J. Database Manag. Syst 3 (1), 60-79, 2011 | 87 | 2011 |
Bridging the “last mile” gap between AI implementation and operation:“data awareness” that matters F Cabitza, A Campagner, C Balsano Annals of translational medicine 8 (7), 2020 | 77 | 2020 |
The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence F Cabitza, JD Zeitoun Annals of translational medicine 7 (8), 2019 | 73 | 2019 |
The revival of the notes field: leveraging the unstructured content in electronic health records M Assale, LG Dui, A Cina, A Seveso, F Cabitza Frontiers in medicine 6, 66, 2019 | 72 | 2019 |
A comprehensive data quality methodology for web and structured data C Batini, F Cabitza, C Cappiello, C Francalanci International Journal of Innovative Computing and Applications 1 (3), 205-218, 2008 | 72 | 2008 |
Interpretable heartbeat classification using local model-agnostic explanations on ECGs I Neves, D Folgado, S Santos, M Barandas, A Campagner, L Ronzio, ... Computers in Biology and Medicine 133, 104393, 2021 | 70 | 2021 |
A giant with feet of clay: on the validity of the data that feed machine learning in medicine F Cabitza, D Ciucci, R Rasoini Organizing for the Digital World, 121-136, 2019 | 67 | 2019 |
Affording mechanisms: an integrated view of coordination and knowledge management F Cabitza, C Simone Computer Supported Cooperative Work (CSCW) 21, 227-260, 2012 | 64 | 2012 |
Applications of deep learning in dentistry S Corbella, S Srinivas, F Cabitza Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 132 (2), 225-238, 2021 | 63 | 2021 |