Michaela Cellina

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)

Artificial Intelligence in Emergency Radiology: Where Are We Going?

2022 · 56 Zit. · Diagnostics

Radiologists’ perceptions on AI integration: An in-depth survey study

2024 · 33 Zit. · European Journal of Radiology

How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders

2023 · 24 Zit. · European Journal of Radiology

Exploring the Role of ChatGPT in Oncology: Providing Information and Support for Cancer Patients

2024 · 22 Zit. · BioMedInformatics

How do large language models answer breast cancer quiz questions? A comparative study of GPT-3.5, GPT-4 and Google Gemini

2024 · 15 Zit. · La radiologia medica

Voice to the Patients: What do they really think about the use of AI by radiologists? A Focus Group study

2023 · 3 Zit.

Capturing patient voices: A focus group-based study unveiling the potential of AI in medical diagnosis

2024 · 1 Zit. · Human Technology

Preface: Artificial Intelligence and the Revolution of Oncological Imaging

2024 · 0 Zit. · Critical Reviews™ in Oncogenesis

How patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders.

2022 · 0 Zit.

Correction: Cè et al. Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies. Diagnostics 2024, 14, 2473

2026 · 0 Zit. · Diagnostics

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

2022 · 0 Zit.

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

2022 · 0 Zit.

How do radiologists perceive their interaction with AI? Results of a survey on 114 respondents

2023 · 0 Zit.