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Clinical Chemistry and Laboratory Medicine|November 3, 2022
Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratoriesAnna Carobene, Federico Cabitza, Sergio Bernardini, et al.Diagnosis (Berlin, Germany)|October 9, 2020
Role of time-normalized laboratory findings in predicting COVID-19 outcomeDavide Ferrari, Andrea Seveso, Eleonora Sabetta, et al.Internal and Emergency Medicine|December 19, 2025
Artificial intelligence in medicine: a position paper by the Italian Society of Internal MedicineClara Balsano, Federico Cabitza, Sebastiano Cicco, et al.International Journal of Medical Informatics|December 12, 2025
Effectiveness of computerized decision support systems linked to electronic health records: An updated systematic review with meta-analysisAnnalisa Biffi, Greta Castellini, Gabriele Del Castillo, et al.NPJ Digital Medicine|June 14, 2025
Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systemsAida Brankovic, David Cook, Jessica Rahman, et al.Journal of Medical Systems|May 17, 2023
The Effect of Holographic Heart Models and Mixed Reality for Anatomy Learning in Congenital Heart Disease: An Exploratory StudyAngelo Fabio d'Aiello, Federico Cabitza, Chiara Natali, et al.La Radiologia Medica|April 24, 2023
Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysisMarco Serafin, Benedetta Baldini, Federico Cabitza, et al.Clinical Chemistry and Laboratory Medicine|April 21, 2023
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)Janne Cadamuro, Federico Cabitza, Zeljko Debeljak, et al.Methods of Information in Medicine|June 3, 2025
Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray ImagesSamuele Pe, Lorenzo Famiglini, Enrico Gallazzi, et al.Healthcare (Basel, Switzerland)|July 28, 2026
Predictive Factors of Inpatient Rehabilitation Outcomes and Stay: A Machine Learning Study with Temporal ValidationAndrea Campagner, Claudio Cordani, Catia Pelosi, et al.Pageof 9