University of Padua

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh et al.

2023 · 1.412 Zit.

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo, Mario Brčić, Federico Cabitza et al.

2024 · 447 Zit.

Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

Muhammad Iqbal, Zeeshan Javed, Haleema Sadia et al.

2021 · 342 Zit.

What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

Elisa Giulia Liberati, Francesca Ruggiero, Laura Galuppo et al.

2017 · 316 Zit.

A critic evaluation of methods for COVID-19 automatic detection from X-ray images

Gianluca Maguolo, Loris Nanni

2021 · 236 Zit.

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen et al.

2023 · 199 Zit.

Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review

Clara Cestonaro, Arianna Delicati, Beatrice Marcante et al.

2023 · 156 Zit.

Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?

Andrew A. Gumbs, Isabella Frigerio, Gaya Spolverato et al.

2021 · 152 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 · 114 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 · 104 Zit.

Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA

Giuseppe Muscogiuri, Mattia Chiesa, Michela Trotta et al.

2019 · 99 Zit.

Basic principles and recommendations in clinical and field science research: 2018 update

Johnny Padulo, Francesco Oliva, Antonio Frizziero et al.

2019 · 97 Zit.

A critic evaluation of methods for COVID-19 automatic detection from X-ray images

Gianluca Maguolo, Loris Nanni

2021 · 83 Zit.

Assessing the accuracy of ChatGPT references in head and neck and ENT disciplines

Andrea Frosolini, Leonardo Franz, Simone Benedetti et al.

2023 · 62 Zit.

Integrated diagnostics

Giuseppe Lippi, Mario Plebani

2019 · 52 Zit.