Identifiers
Papers
Documents in the 44B Library with American College of Radiology on the authorship, newest first.
2026-05-01 · 27 authors here
Bridging Industry and Academia: Proceedings from the 2025 Academy Roundtable on AI Implementation in Medical Imaging
2026-01-16 · 3 authors here
Positive act of reporting negative results in large language model research: a call for transparency
2026-01-15 · 2 authors here
Radiologist burnout: AI’s true black box
2026-01-01 · 6 authors here
Smart Technology, Fragile Hearts: Navigating AI’s Challenges and Limitations in Heart Failure Management
2025-10-22 · 8 authors here
False-Negative Screening and Diagnostic Mammograms in the National Mammography Database From 2010 to 2022
2025-10-01 · 31 authors here
Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM
2025-10-01 · 31 authors here
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM
2025-07-01 · 8 authors here
A Hitchhiker's Guide to Good Prompting Practices for Large Language Models in Radiology
2025-05-01 · 28 authors here
Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials
2024-01-23 · 11 authors here
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA
2024-01-23 · 11 authors here
Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA
2024-01-22 · 11 authors here
Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA
2024-01-22 · 11 authors here
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA
2024-01-01 · 11 authors here
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA
2022-10-04 · 11 authors here
ACR’s Connect and AI-LAB technical framework
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number