Istituto Ortopedico Galeazzi

Artificial intelligence and machine learning in spine research

Fabio Galbusera, Gloria Casaroli, Tito Bassani

2019 · 311 Zit.

Machine Learning in Orthopedics: A Literature Review

Federico Cabitza, Angela Locoro, Giuseppe Banfi

2018 · 242 Zit.

Characteristics of academic publications, preprints, and registered clinical trials on the COVID-19 pandemic

Silvia Gianola, Tiago S. Jesus, Silvia Bargeri et al.

2020 · 133 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.

Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters

Federico Cabitza, Andrea Campagner, Clara Balsano

2020 · 106 Zit.

Machine learning in laboratory medicine: waiting for the flood?

Federico Cabitza, Giuseppe Banfi

2017 · 97 Zit.

Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis

Federico Cabitza, Andrea Campagner, Luca Ronzio et al.

2023 · 87 Zit.

Comparative accuracy of ChatGPT-4, Microsoft Copilot and Google Gemini in the Italian entrance test for healthcare sciences degrees: a cross-sectional study

Giacomo Rossettini, Lia Rodeghiero, Federica Corradi et al.

2024 · 76 Zit.

The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence

Federico Cabitza, Jean‐David Zeitoun

2019 · 69 Zit.

ChatGPT in orthopedics: a narrative review exploring the potential of artificial intelligence in orthopedic practice

Riccardo Giorgino, Mario Alessandri‐Bonetti, Andrea Luca et al.

2023 · 55 Zit.

Artificial intelligence in laboratory medicine: fundamental ethical issues and normative key-points

Federico Pennestrì, Giuseppe Banfi

2022 · 50 Zit.

As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI

Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza

2020 · 46 Zit.

Artificial Intelligence and liver: Opportunities and barriers

Clara Balsano, Patrizia Burra, Christophe Duvoux et al.

2023 · 35 Zit.

Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading

Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza

2021 · 35 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.