Radiology Associates

Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

Dania Daye, Walter F. Wiggins, Matthew P. Lungren et al.

2022 · 124 Zit.

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

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 75 Zit.

Radiology Practice Consolidation: Fewer but Bigger Groups Over Time

Andrew B. Rosenkrantz, Howard B. Fleishon, Ezequiel Silva et al.

2019 · 48 Zit.

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

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 44 Zit.

Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence

Prateek Bharadwaj, Lauren P Nicola, Manon Breau-Brunel et al.

2024 · 44 Zit.

A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost

Lauren Parks Golding, Gregory N. Nicola

2019 · 35 Zit.

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

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 33 Zit.

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

Juan Batlle, Keith J. Dreyer, Bibb Allen et al.

2021 · 27 Zit.

Recent Trends in Academic Versus Nonacademic Radiologist Compensation and Clinical Productivity

Ajay Malhotra, Dheeman Futela, Rudra Joshi et al.

2024 · 22 Zit.

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

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 18 Zit.

The Artificial Intelligence Journal Club (#RADAIJC): A Multi-Institutional Resident-Driven Web-Based Educational Initiative

Patricia Balthazar, Shahein Tajmir, Daniel Ortiz et al.

2019 · 17 Zit.

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance

Jeffrey D. Rudie, Jeffrey Duda, Michael Tran Duong et al.

2021 · 14 Zit.

Current Reimbursement Landscape of Artificial Intelligence

G. Wu, Colin M. Segovis, Lauren P. Nicola et al.

2023 · 13 Zit.

Artificial Intelligence: A Private Practice Perspective

Nina Kottler

2020 · 11 Zit.

Interpretations of Examinations Outside of Radiologists' Fellowship Training: Assessment of Discrepancy Rates Among 5.9 Million Examinations From a National Teleradiology Databank

Suzanne Chong, Tarek Hanna, Christine Lamoureux et al.

2021 · 10 Zit.