Tugba Akinci D’Antonoli

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

2023 · 185 Zit. · Diagnostic and Interventional Radiology

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative

2022 · 110 Zit. · European Radiology

Ethical considerations for artificial intelligence: an overview of the current radiology landscape

2020 · 75 Zit. · Diagnostic and Interventional Radiology

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

2025 · 54 Zit. · Insights into Imaging

Reproducibility of radiomics quality score: an intra- and inter-rater reliability study

2023 · 48 Zit. · European Radiology

Towards reproducible radiomics research: introduction of a database for radiomics studies

2023 · 44 Zit. · European Radiology

Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM

2023 · 19 Zit. · European Radiology

Self-reported checklists and quality scoring tools in radiomics: a meta-research

2024 · 18 Zit. · European Radiology

Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans

2023 · 14 Zit. · Radiology Artificial Intelligence

Recognising errors in AI implementation in radiology: A narrative review

2025 · 13 Zit. · European Journal of Radiology

Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS

2024 · 13 Zit. · Diagnostic and Interventional Radiology

Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII

2025 · 9 Zit. · European Radiology

Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care

2025 · 6 Zit. · Radiology Artificial Intelligence

A New Era of Text Mining in Radiology with Privacy-Preserving LLMs

2024 · 4 Zit. · Radiology Artificial Intelligence

AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

2025 · 2 Zit. · Pediatric Radiology