Stephen Pfohl

Large language models encode clinical knowledge

2023 · 3.016 Zit. · Nature

Towards Expert-Level Medical Question Answering with Large Language Models

2023 · 334 Zit. · arXiv (Cornell University)

The value of standards for health datasets in artificial intelligence-based applications

2023 · 260 Zit. · Nature Medicine

Large Language Models Encode Clinical Knowledge

2022 · 258 Zit. · arXiv (Cornell University)

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

2024 · 106 Zit. · The Lancet Digital Health

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

2022 · 86 Zit. · Scientific Reports

Tackling bias in AI health datasets through the STANDING Together initiative

2022 · 81 Zit. · Nature Medicine

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

2021 · 80 Zit. · Applied Clinical Informatics

A toolbox for surfacing health equity harms and biases in large language models

2024 · 70 Zit. · Nature Medicine

Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation

2022 · 33 Zit. · BMJ Health & Care Informatics

Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

2024 · 28 Zit. · EClinicalMedicine

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

2025 · 20 Zit. · Nature Medicine

An intentional approach to managing bias in general purpose embedding models

2024 · 17 Zit. · The Lancet Digital Health

Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

2023 · 16 Zit. · Methods of Information in Medicine

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

2024 · 13 Zit. · NEJM AI