Office of the Director

A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

Bibb Allen, Steven E. Seltzer, Curtis P. Langlotz et al.

2019 · 124 Zit.

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 105 Zit.

Digital clinical trials: creating a vision for the future

Steven R. Steinhubl, Dana L. Wolff‐Hughes, Wendy Nilsen et al.

2019 · 75 Zit.

Awareness of Racial and Ethnic Bias and Potential Solutions to Address Bias With Use of Health Care Algorithms

Anjali Jain, Jasmin R. Brooks, Cleothia C. Alford et al.

2023 · 73 Zit.

Maintaining Data Integrity in Randomized Clinical Trials

Linda E. Moody, Susan C. McMillan

2002 · 18 Zit.

The office of scientific integrity investigations: The importance of data analysis

Alan R. Price, Jules V. Hallum

1992 · 17 Zit.

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 13 Zit.

Simulated misuse of large language models and clinical credit systems

James Anibal, Hannah Huth, Jasmine Gunkel et al.

2024 · 10 Zit.

Promoting transparency in AI for biomedical and behavioral research

Tina Hernandez‐Boussard, Aaron Lee, Julia Stoyanovich et al.

2025 · 6 Zit.

Simulated Misuse of Large Language Models and Clinical Credit Systems

James Anibal, Hannah Huth, Jasmine Gunkel et al.

2024 · 3 Zit.

Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation

Elaheh Aghaarabi, David M. Murray

2025 · 1 Zit.

Opportunities for Artificial Intelligence in Epidemiology

Tamara R. Litwin, Macarius Donneyong, Edward Trapido

2026 · 0 Zit.

Telehealth Is Effective in the Evaluation of Individuals With Undiagnosed Rare Disorders: An Undiagnosed Diseases Network Study

Queenie K.‐G. Tan, Allyn McConkie‐Rosell, Rachel Mahoney et al.

2024 · 0 Zit.

Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case

Heather M. Whitney, Rachel Baccile, Hui Li et al.

2025 · 0 Zit.