Gianpaolo Carrafiello

AlforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.

2021 · 91 Zit. · Florence Research (University of Florence)

Legal and Regulatory Framework for AI Solutions in Healthcare in EU, US, China, and Russia: New Scenarios after a Pandemic

2021 · 60 Zit. · Radiation

Women’s perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre

2022 · 49 Zit. · British Journal of Radiology

Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists

2020 · 47 Zit. · Medical Oncology

AI in Radiology: Navigating Medical Responsibility

2024 · 27 Zit. · Diagnostics

Patients’ Perceptions and Attitudes to the Use of Artificial Intelligence in Breast Cancer Diagnosis: A Narrative Review

2024 · 24 Zit. · Life

Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System

2021 · 9 Zit. · Reports in Medical Imaging

Dataset related to article "An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals "

2023 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)

Dataset related to article "An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals "

2023 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)

Author response for "Artificial Intellgence in the Era of Precision Oncological Imaging"

2022 · 0 Zit.