Carol C. Wu

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2019 · 340 Zit. · Radiology

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

2024 · 243 Zit. · Radiology Artificial Intelligence

Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions

2019 · 160 Zit. · Radiology Artificial Intelligence

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

2019 · 114 Zit. · Insights into Imaging

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2019 · 112 Zit. · Canadian Association of Radiologists Journal

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2019 · 92 Zit. · Journal of the American College of Radiology

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

2023 · 38 Zit. · arXiv (Cornell University)

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization

2021 · 27 Zit. · Journal of the American College of Radiology

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

2024 · 23 Zit. · Radiology Artificial Intelligence

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation

2024 · 5 Zit. · Lecture notes in computer science

Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption

2024 · 5 Zit. · Computational and Structural Biotechnology Journal

Imaging AI in Practice: Introducing the Special Issue

2022 · 3 Zit. · Radiology Artificial Intelligence

Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction

2024 · 2 Zit. · arXiv (Cornell University)

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions

2024 · 2 Zit. · Artificial Intelligence in Medicine

MAARTA:Multi-agentic Adaptive Radiology Teaching Assistant

2025 · 1 Zit. · Lecture notes in computer science