To do no harm - and the most good - with AI in health care.
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[Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extensionDiretrizes para protocolos de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão SPIRIT-AI].
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[Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extensionDiretrizes para relatórios de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão CONSORT-AI].
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Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
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Where Medical Statistics Meets Artificial Intelligence. Reply.
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Authors’ reply to the Discussion of ‘Martingale Posterior Distributions’
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Martingale posterior distributions
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Where Medical Statistics Meets Artificial Intelligence.
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Making the invisible visible: what can we do about biased AI in medical devices?
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Whitehead M. et al, (2023), BMJ (Clinical research ed.), 382
Optimal strategies for learning multi-ancestry polygenic scores vary across traits
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Lehmann B. et al, (2023), Nature Communications, 14
Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database.
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Sinha S. et al, (2023), European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 63
Statistical inference with exchangeability and martingales.
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Holmes CC. and Walker SG., (2023), Philos Trans A Math Phys Eng Sci, 381
Generating the right evidence at the right time: Principles of a new class of flexible augmented clinical trial designs.
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Dunger-Baldauf C. et al, (2023), Clin Pharmacol Ther
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic.
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Li G. et al, (2023), Environ Int, 172
The genetic architecture of changes in adiposity during adulthood
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Venkatesh SS. et al, (2023)
A Unified Framework for U-Net Design and Analysis
Conference paper
Williams C. et al, (2023), Advances in Neural Information Processing Systems, 36
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior
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Menacher A. et al, (2023), JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Differentially Private Statistical Inference through β-Divergence One Posterior Sampling
Conference paper
Jewson J. et al, (2023), Advances in Neural Information Processing Systems, 36
Learning from data with structured missingness
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Mitra R. et al, (2023), Nature Machine Intelligence, 5, 13 - 23
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Conference paper
Ter-Minassian L. et al, (2023), Proceedings of Machine Learning Research, 202, 34054 - 34089