Joseph Alderman

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

2023 · 256 Zit. · Nature Medicine

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

2024 · 105 Zit. · The Lancet Digital Health

Tackling bias in AI health datasets through the STANDING Together initiative

2022 · 80 Zit. · Nature Medicine

New Horizons in artificial intelligence in the healthcare of older people

2023 · 60 Zit. · Age and Ageing

Importance of sample size on the quality and utility of AI-based prediction models for healthcare

2025 · 33 Zit. · The Lancet Digital Health

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

2024 · 13 Zit. · NEJM AI

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

2024 · 11 Zit. · Clinical Imaging

Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review

2024 · 11 Zit. · The Lancet Digital Health

The role of procurement frameworks in responsible AI innovation in the National Health Service: a multi-stakeholder perspective

2025 · 4 Zit. · Frontiers in Health Services

A Global Health Data Divide

2024 · 2 Zit. · NEJM AI

Diversity and Inclusion Within Datasets in Heart Failure

2025 · 2 Zit. · JACC Advances

Building The Health Chatbot Users’ Guide

2026 · 1 Zit. · Nature Health

A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models — part 2: time-to-event outcomes

2025 · 1 Zit. · Diagnostic and Prognostic Research

AI Readiness for Health and Care Organisations - A Consultation Paper

2026 · 0 Zit. · Open MIND

The ‘Hippocratic Oath’ for AI-based clinical decision support systems

2026 · 0 Zit. · BMC Medical Informatics and Decision Making