National Center for Toxicological Research

Transparency and reproducibility in artificial intelligence

Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.

2020 · 474 Zit.

Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science

Magnus Gray, Ravi K. Samala, Qi Liu et al.

2023 · 26 Zit.

A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document

Leihong Wu, Joshua Xu, Shraddha Thakkar et al.

2024 · 11 Zit.

Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study

Paul Rogers, Thérèse McCall, Ying Zhang et al.

2025 · 2 Zit.

Benchmarking bias in embeddings of healthcare AI models: using SD-WEAT for detection and measurement across sensitive populations

Magnus Gray, Leihong Wu

2025 · 1 Zit.

Society for birth defects research and prevention's multidisciplinary research needs workshop 2022: A call to action

Madhumita Basu, Kembra L. Howdeshell, Sonja A. Rasmussen et al.

2023 · 0 Zit.