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Joseph Alderman

Showing results (11-20 of 19) with videos related to

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Diagnostic and Prognostic Research|December 16, 2025
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 outcomesRichard D Riley, Gary S Collins, Lucinda Archer, et al.
BMJ Open Respiratory Research|December 1, 2020
Characterisation and outcomes of ARDS secondary to pneumonia in patients with and without SARS-CoV-2: a single-centre experienceRahul Y Mahida, Minesh Chotalia, Joseph Alderman, et al.
BMC Medical Research Methodology|July 2, 2025
Extended sample size calculations for evaluation of prediction models using a threshold for classificationRebecca Whittle, Joie Ensor, Lucinda Archer, et al.
BMC Medical Informatics and Decision Making|May 1, 2026
The 'Hippocratic Oath' for AI-based clinical decision support systemsSolomon Bracey, Ben Ainsworth, Joseph Alderman, et al.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Clinical Imaging|July 9, 2025
Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369]Elinor Laws, Joanne Palmer, Joseph Alderman, et al.
The Lancet. Digital Health|June 3, 2025
Importance of sample size on the quality and utility of AI-based prediction models for healthcareRichard D Riley, Joie Ensor, Kym I E Snell, et al.
BMJ (Clinical Research Ed.)|February 13, 2025
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approachesRichard D Riley, Gary S Collins, Laura Kirton, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Diagnostic and Prognostic Research|December 16, 2025
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 outcomesRichard D Riley, Gary S Collins, Lucinda Archer, et al.
BMJ Open Respiratory Research|December 1, 2020
Characterisation and outcomes of ARDS secondary to pneumonia in patients with and without SARS-CoV-2: a single-centre experienceRahul Y Mahida, Minesh Chotalia, Joseph Alderman, et al.
BMC Medical Research Methodology|July 2, 2025
Extended sample size calculations for evaluation of prediction models using a threshold for classificationRebecca Whittle, Joie Ensor, Lucinda Archer, et al.
BMC Medical Informatics and Decision Making|May 1, 2026
The 'Hippocratic Oath' for AI-based clinical decision support systemsSolomon Bracey, Ben Ainsworth, Joseph Alderman, et al.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Clinical Imaging|July 9, 2025
Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369]Elinor Laws, Joanne Palmer, Joseph Alderman, et al.
The Lancet. Digital Health|June 3, 2025
Importance of sample size on the quality and utility of AI-based prediction models for healthcareRichard D Riley, Joie Ensor, Kym I E Snell, et al.
BMJ (Clinical Research Ed.)|February 13, 2025
Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approachesRichard D Riley, Gary S Collins, Laura Kirton, et al.
Pageof 2