Charles E. Kahn

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers

2020 · 1.148 Zit. · Radiology Artificial Intelligence

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Artificial intelligence and machine learning in cancer imaging

2022 · 286 Zit. · Communications Medicine

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

2024 · 245 Zit. · Radiology Artificial Intelligence

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

2021 · 217 Zit. · Nature Medicine

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

2021 · 159 Zit. · European Radiology

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

2023 · 112 Zit. · Nature Medicine

From Images to Actions: Opportunities for Artificial Intelligence in Radiology

2017 · 92 Zit. · Radiology

Data Science: Big Data, Machine Learning, and Artificial Intelligence

2018 · 71 Zit. · Journal of the American College of Radiology

Readability of radiology reports: implications for patient-centered care

2018 · 70 Zit. · Clinical Imaging

How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries?

2020 · 67 Zit. · Radiology Artificial Intelligence

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Artificial Intelligence and Radiology Education

2022 · 59 Zit. · Radiology Artificial Intelligence

AI Reporting Guidelines: How to Select the Best One for Your Research

2023 · 55 Zit. · Radiology Artificial Intelligence