Fred Prior

Artificial intelligence and machine learning in cancer imaging

2022 · 285 Zit. · Communications Medicine

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

2024 · 243 Zit. · Radiology Artificial Intelligence

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2025 · 218 Zit. · BMJ

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review

2020 · 154 Zit. · JMIR Medical Informatics

Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

2021 · 137 Zit. · Physica Medica

Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

2023 · 70 Zit. · European Radiology Experimental

Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review

2021 · 66 Zit. · Informatics

Open access image repositories: high-quality data to enable machine learning research

2019 · 65 Zit. · Clinical Radiology

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

An Assessment of Imaging Informatics for Precision Medicine in Cancer

2017 · 23 Zit. · Yearbook of Medical Informatics

PRISM: A Platform for Imaging in Precision Medicine

2020 · 23 Zit. · JCO Clinical Cancer Informatics

Documenting the de-identification process of clinical and imaging data for AI for health imaging projects

2024 · 17 Zit. · Insights into Imaging

Environment scan of generative AI infrastructure for clinical and translational science

2025 · 8 Zit. · npj Health Systems

Emerging Value-Based Radiology in the Era of Artificial Intelligence

2023 · 3 Zit. · Medical Research Archives

New implementation of data standards for AI in oncology. Experience from the EuCanImage project

2024 · 3 Zit.