Office of Diversity and Inclusion

Assessing and Mitigating Bias in Medical Artificial Intelligence

Peter A. Noseworthy, Zachi I. Attia, LaPrincess C. Brewer et al.

2020 · 206 Zit.

Gender and Racial Bias in Radiology Residency Letters of Recommendation

Lars J. Grimm, Rebecca A. Redmond, James C. Campbell et al.

2019 · 131 Zit.

Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools

Neena Kapoor, Ronilda Lacson, Ramin Khorasani

2020 · 61 Zit.

RadTranslate: An Artificial Intelligence–Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic

Daniel B. Chonde, Ali Pourvaziri, Joy M. Williams et al.

2021 · 39 Zit.

Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case Example

Ronilda Lacson, Mahsa Eskian, Andro Licaros et al.

2022 · 27 Zit.

Three recommended inclusive language guidelines for scholarly publishing: Words matter

Sabrina J. Ashwell, Patricia K. Baskin, Stacy Christiansen et al.

2023 · 5 Zit.

Introducing the <i>JAMA Dermatology</i> Editorial Fellowship

Mya L. Roberson, Kanade Shinkai

2023 · 4 Zit.

Olive: An Instruction Following LLaMA Model For Odia Language

Shantipriya Parida, Sambit Sekhar, Subhadarshi Panda et al.

2023 · 2 Zit.

Artificial Intelligence and Its Impact on Radiology: Summary of the 2024 Intersociety Summer Conference

Michael A. Bruno, Lars J. Grimm, Laeton J Pang et al.

2025 · 1 Zit.

Human Readers versus AI-Based Systems in ASPECTS Scoring for Acute Ischemic Stroke: A Systematic Review and Meta-Analysis with Region-Specific Guidance

Ahmed Y. Azzam, Ibrahim Hadadi, Leen M Al-Shahrani et al.

2025 · 1 Zit.

An Expert Panel DiscussionEmbedding Ethics and Equity in Artificial Intelligence and Machine Learning Infrastructure

Malaika Simmons, Rachele Hendricks‐Sturrup, G Waters et al.

2023 · 0 Zit.