Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele

The importance of being external. methodological insights for the external validation of machine learning models in medicine

Federico Cabitza, Andrea Campagner, Felipe Soares et al.

2021 · 235 Zit.

A single dose of erythropoietin in ST-elevation myocardial infarction

Adriaan A. Voors, Anne M.S. Belonje, Felix Zijlstra et al.

2010 · 145 Zit.

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, Željko Debeljak et al.

2023 · 109 Zit.

Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process

Anna Carobene, Andrea Padoan, Federico Cabitza et al.

2023 · 97 Zit.

Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature

Alessandro Scardoni, Federica Balzarini, Carlo Signorelli et al.

2020 · 88 Zit.

Where is laboratory medicine headed in the next decade? Partnership model for efficient integration and adoption of artificial intelligence into medical laboratories

Anna Carobene, Federico Cabitza, Sergio Bernardini et al.

2022 · 38 Zit.

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

Anna Carobene, Frida Milella, Lorenzo Famiglini et al.

2022 · 33 Zit.

Testing ChatGPT ability to answer laypeople questions about cardiac arrest and cardiopulmonary resuscitation

Tommaso Scquizzato, Federico Semeraro, Paul Swindell et al.

2023 · 29 Zit.

Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML

Jochen K. Lennerz, Roberto Salgado, Grace Kim et al.

2023 · 23 Zit.

Blockchain in surgery: are we ready for the digital revolution?

Francesco Maria Carrano, Pierpaolo Sileri, Susie Batt et al.

2022 · 23 Zit.

A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects

Janne Cadamuro, Anna Carobene, Federico Cabitza et al.

2024 · 22 Zit.

A survey on Artificial Intelligence and Big Data utilisation in Italian clinical laboratories

Claudia Bellini, Andrea Padoan, Anna Carobene et al.

2022 · 21 Zit.

Moving Toward Implementation of Responsible Artificial Intelligence in Health Care

Michel E. van Genderen, Ilse Kant, Carlo Tacchetti et al.

2025 · 19 Zit.

AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients

Anna Palmisano, Davide Vignale, Edda Boccia et al.

2022 · 18 Zit.

Evaluating Explainable Machine Learning Models for Clinicians

Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni et al.

2024 · 12 Zit.