Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis.
Schoenpflug LA. et al, (2024), The Journal of pathology
Development and assessment of a machine learning tool for predicting emergency admission in Scotland.
Liley J. et al, (2024), NPJ digital medicine, 7
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland.
Liley J. et al, (2024), NPJ digital medicine, 7
Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID-19.
Pigoli D. et al, (2024), Stat Med
Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records.
Venkatesh SS. et al, (2024), Nature communications, 15
Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors.
Domingo E. et al, (2024), EBioMedicine, 106
A large-scale and PCR-referenced vocal audio dataset for COVID-19.
Budd J. et al, (2024), Scientific data, 11
Equity in medical devices: trainers and educators play a vital role.
Whitehead M. et al, (2024), BMJ (Clinical research ed.), 385
To do no harm - and the most good - with AI in health care.
Goldberg CB. et al, (2024), Nature medicine
[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].
Cruz Rivera S. et al, (2024), Revista panamericana de salud publica = Pan American journal of public health, 48
[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].
Liu X. et al, (2024), Revista panamericana de salud publica = Pan American journal of public health, 48
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
Dauncey S. et al, (2024), Transactions on Machine Learning Research, 2024
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Coppock H. et al, (2024), Nature Machine Intelligence
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Falck F. et al, (2024), Proceedings of Machine Learning Research, 235, 12784 - 12805
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
Clivio O. et al, (2024), Proceedings of Machine Learning Research, 244, 856 - 880
Where Medical Statistics Meets Artificial Intelligence. Reply.
Hunter DJ. and Holmes C., (2023), The New England journal of medicine, 389, 2403 - 2404
Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.
Jiang X. et al, (2023), Nature genetics, 55, 1854 - 1865
Authors’ reply to the Discussion of ‘Martingale Posterior Distributions’
Fong E. et al, (2023), Journal of the Royal Statistical Society. Series B: Statistical Methodology, 85, 1413 - 1416
Martingale posterior distributions
Fong E. et al, (2023), Journal of the Royal Statistical Society. Series B: Statistical Methodology, 85, 1357 - 1391
Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior
Menacher A. et al, (2023), Journal of the American Statistical Association