Joseph Alderman

University Hospitals Birmingham NHS Foundation Trust — United Kingdom

Medicine · Health Sciences

15h-index1.3kcitations77works6.72yr avg
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Research Topics

Cardiac Arrest and Resuscitation(21), Artificial Intelligence in Healthcare and Education(15), Respiratory Support and Mechanisms(10), Disaster Response and Management(9), Simulation-Based Education in Healthcare(8)

Publications76 total

The AI Readiness Checklist
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
The AI Readiness Checklist
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Building The Health Chatbot Users’ Guide
Nature Health·2026
AI Readiness for Health and Care Organisations - A Consultation Paper
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
AI Readiness for Health and Care Organisations - A Consultation Paper
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
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
Diagnostic and Prognostic Research·2025· 1 citedOpen Access
Hidden risks of predictive models in healthcare
BMJ evidence-based medicine·2025· 2 citedOpen Access
Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of regulation and evidence of performance
BMJ·2025· 7 citedOpen Access
Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of information on intended use, instructions for use, and post-test decision making
BMJ·2025· 5 citedOpen Access
Corrigendum to “Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review” [Clin Imaging 118 (2025) 110369]
Clinical Imaging·2025Open Access
Extended sample size calculations for evaluation of prediction models using a threshold for classification
BMC Medical Research Methodology·2025· 3 citedOpen Access
The role of procurement frameworks in responsible AI innovation in the National Health Service: a multi-stakeholder perspective
Frontiers in Health Services·2025· 3 citedOpen Access
Importance of sample size on the quality and utility of AI-based prediction models for healthcare
The Lancet Digital Health·2025· 22 citedOpen Access
Diversity and Inclusion Within Datasets in Heart Failure
JACC Advances·2025· 2 citedOpen Access
Author Correction: Five ways to enhance the diversity and quality of health data
Nature Medicine·2025Open Access
Five ways to enhance the diversity and quality of health data
Nature Medicine·2025· 5 citedOpen Access
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
BMJ·2025· 18 citedOpen Access
A decomposition of Fisher's information to inform sample size for developing fair and precise clinical prediction models -- Part 2: time-to-event outcomes
arXiv (Cornell University)·2025Open Access
Development of a Target Product Profile for an Artificial Intelligence for Use in English Diabetic Eye Screening, a Modified Delphi Consensus Study
SSRN Electronic Journal·2025Open Access
Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
NEJM AI·2024· 11 cited
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Frequent Co-authors

Alastair K. Denniston(15), Xiaoxuan Liu(13), Dhruv Parekh(10), Jaimin Patel(10), Elinor Laws(9), Joanne Palmer(8), Melanie Calvert(8), Melissa D. McCradden(7), Bilal A. Mateen(7), Jacqui Gath(7), Rubeta Matin(7), Minesh Chotalia(7), Mansoor N. Bangash(7), Andrew Owen(7), Richard D Riley(7), Stephanie Kuku(6), Elizabeth Sapey(6), Maxine Mackintosh(6), Joie Ensor(6), Lucinda Archer(6)