Benjamin A. Goldstein

AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records

2020 · 141 Zit. · JMIR Medical Informatics

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

2022 · 96 Zit. · Journal of the American Medical Informatics Association

Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions

2021 · 67 Zit. · JAMA Network Open

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

2023 · 45 Zit. · Journal of the American Medical Informatics Association

Ethics in Patient Preferences for Artificial Intelligence–Drafted Responses to Electronic Messages

2025 · 28 Zit. · JAMA Network Open

Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

2022 · 21 Zit. · BMC Medical Informatics and Decision Making

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

2024 · 20 Zit. · Nature Medicine

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data

2022 · 19 Zit. · Journal of Biomedical Informatics

Observability and its impact on differential bias for clinical prediction models

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

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

2025 · 9 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 · 6 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

Large language models in global health

2026 · 6 Zit. · Nature Health

Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

2023 · 4 Zit. · JMIR Medical Informatics

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

2022 · 4 Zit. · BMC Medical Informatics and Decision Making