John Mongan

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

2020 · 1.152 Zit. · Radiology Artificial Intelligence

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

2024 · 257 Zit. · Radiology Artificial Intelligence

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

2025 · 229 Zit. · BMJ

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

2023 · 114 Zit. · Nature Medicine

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA

2024 · 72 Zit. · Insights into Imaging

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA

2024 · 47 Zit. · Radiology Artificial Intelligence

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA

2024 · 41 Zit. · Canadian Association of Radiologists Journal

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

2023 · 38 Zit. · arXiv (Cornell University)

Artificial Intelligence and Human Life: Five Lessons for Radiology from the 737 MAX Disasters

2020 · 34 Zit. · Radiology Artificial Intelligence

Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA

2024 · 29 Zit. · Journal of Medical Imaging and Radiation Oncology

Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions

2020 · 27 Zit. · Journal of the American College of Radiology

Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research

2023 · 25 Zit. · Nature Machine Intelligence

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

2024 · 23 Zit. · Radiology Artificial Intelligence

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA

2024 · 18 Zit. · Journal of the American College of Radiology

Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up

2017 · 12 Zit. · Radiographics