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Studies in Health Technology and Informatics|April 22, 2018
Collecting Patient Reported Outcomes in the Wild: Opportunities and ChallengesFederico Cabitza, Linda Greta DuiAnnals of Translational Medicine|May 13, 2020
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that mattersFederico Cabitza, Andrea Campagner, Clara BalsanoStudies in Health Technology and Informatics|June 24, 2020
H-Accuracy, an Alternative Metric to Assess Classification Models in MedicineAndrea Campagner, Luca Sconfienza, Federico CabitzaStudies in Health Technology and Informatics|May 25, 2022
A Confidence Interval-Based Method for Classifier Re-CalibrationAndrea Campagner, Lorenzo Famiglini, Federico CabitzaHealth Information Science and Systems|November 1, 2021
External validation of Machine Learning models for COVID-19 detection based on Complete Blood CountAndrea Campagner, Anna Carobene, Federico CabitzaFrontiers in Bioengineering and Biotechnology|July 13, 2018
Machine Learning in Orthopedics: A Literature ReviewFederico Cabitza, Angela Locoro, Giuseppe BanfiOral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|December 11, 2020
Applications of deep learning in dentistryStefano Corbella, Shanmukh Srinivas, Federico CabitzaComputer Methods and Programs in Biomedicine|June 11, 2022
Decisions are not all equal-Introducing a utility metric based on case-wise raters' perceptionsAndrea Campagner, Federico Sternini, Federico CabitzaStudies in Health Technology and Informatics|April 22, 2018
Minimal Important Difference in Outcome of Disc Degenerative Disease Treatment: The Patients' PerspectiveLinda Greta Dui, Federico Cabitza, Pedro BerjanoHealth Information Science and Systems|February 15, 2021
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double readingFederico Cabitza, Andrea Campagner, Luca Maria SconfienzaPageof 9