Andrea Rockall

Artificial intelligence and machine learning in cancer imaging

2022 · 285 Zit. · Communications Medicine

Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice

2024 · 22 Zit. · Insights into Imaging

The time is now: making the case for a UK registry of deployment of radiology artificial intelligence applications

2023 · 18 Zit. · Clinical Radiology

Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deployment

2024 · 16 Zit. · Clinical Radiology

Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic

2021 · 14 Zit. · Digital Health

What radiologists need to know about patients’ expectations: P.A.T.I.E.N.T.S C.A.R.E.R.S A.I.M.S

2022 · 12 Zit. · Insights into Imaging

From hype to hope to hard work: developing responsible AI for radiology

2019 · 12 Zit. · Clinical Radiology

AI and ML in radiology: Making progress

2023 · 7 Zit. · Clinical Radiology

Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data

2024 · 1 Zit. · Insights into Imaging

Radiology staff perspectives on the use of artificial intelligence in medical imaging

2025 · 0 Zit. · The Royal College of Radiologists Open