Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (488)

« Back to Publications

Less is More: last observations of vital signs can outperform time series for hospital mortality prediction

Zhang Z. et al, (2026)

Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence

Chen Y. et al, (2026), Nature Communications

Development and Validation of a Multimodal AI-Based Model for Predicting Post-Prostatectomy Treatment Outcomes from Baseline Biparametric Prostate MRI.

Simon BD. et al, (2026)

Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling

Molaei S. et al, (2026), Proceedings of the AAAI Conference on Artificial Intelligence, 40, 24422 - 24430

Digital morphine: why AI scribes are symptomatic relief for a broken system

Segal B. et al, (2026), BMJ Digital Health & AI, 2, e000030 - e000030

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity

Molaei S. et al, (2026), IEEE Journal of Biomedical and Health Informatics, 30, 2000 - 2009

Graph-Based Machine Learning Identifies Oxygenated Block Polymer Replacements for Conventional Plastics and Elastics.

Molaei S. et al, (2026), Journal of the American Chemical Society, 148, 10934 - 10944

Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals

Gu X. et al, (2026), Nature Machine Intelligence, 8, 220 - 233

When to and when not to use machine learning in risk prediction models.

Clifton L. et al, (2026), The Lancet. Digital health, 8

Drug or Pokémon? An analysis of the ability of large language models to discern fabricated medications.

Henry K. et al, (2026)

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

Thakur A. et al, (2026), PloS one, 21

Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization

Gu B. et al, (2026), Proceedings of Machine Learning Research, 317

Multivariable Prediction Models for Atrial Fibrillation after Cardiac Surgery: A Systematic Review and Critical Appraisal

Fields KG. et al, (2025), Anesthesiology, 143, 1643 - 1655

Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation

Kuo R. et al, (2025), iScience, 28, 113732 - 113732

Concurrent prediction of in-hospital mortality and length of stay using single-task, multiclass and multitask machine learning

Wei J. et al, (2025), BMJ Digital Health & AI, 1, e000071 - e000071

Load More

1
2
3
4
5
6
7
...
»