Benjamin A. Goldstein

A framework for the oversight and local deployment of safe and high-quality prediction models

2022 · 93 Zit. · Journal of the American Medical Informatics Association

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare

2023 · 40 Zit. · Journal of the American Medical Informatics Association

An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI

2024 · 17 Zit. · Nature Medicine

Observability and its impact on differential bias for clinical prediction models

2022 · 14 Zit. · Journal of the American Medical Informatics Association

Enhancing Clinical Decision Support in Nephrology: Addressing Algorithmic Bias Through Artificial Intelligence Governance

2024 · 6 Zit. · American Journal of Kidney Diseases

Building competency in artificial intelligence and bias mitigation for nurse scientists and aligned health researchers

2025 · 6 Zit. · Nursing Outlook

Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use

2024 · 5 Zit. · Journal of the American Medical Informatics Association

Large language models in global health

2026 · 2 Zit. · Nature Health

The Need for Targeted Labeling of Machine Learning–Based Software as a Medical Device

2022 · 1 Zit. · JAMA Network Open

A roadmap to fair and trustworthy prediction model validation in healthcare

2023 · 1 Zit. · arXiv (Cornell University)

Correction to: Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity

2022 · 0 Zit. · BMC Medical Informatics and Decision Making

FAIR-EC: A Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care (Preprint)

2025 · 0 Zit.