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Search results (126)

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

Clifton L. et al, (2026), Lancet Digit Health

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

ssociations between disease-specific polygenic risk scores and disease-specific causes of death in the UK Biobank cohort

Liu W. et al, (2025)

Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study

Littlejohns TJ. et al, (2025), Scientific Reports, 15

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and “embedded” medical domain expertise

Gu X. et al, (2025), Communications Engineering, 4

Sample Selection Bias in Machine Learning for Healthcare

Chauhan VK. et al, (2025), ACM Transactions on Computing for Healthcare, 6

multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates

Simon BD. et al, (2025), Clinical Imaging, 126

Beyond Correlations: The Necessity and the Challenges of Causal AI

Chauhan VK. et al, (2025)

Dysregulated immune proteins in plasma in the UK Biobank predict multiple myeloma 12 years before clinical diagnosis

Fieggen J. et al, (2025), Blood Advances, 9, 3766 - 3770

Navigating Severe Class Imbalance in Population Cohort Data

Fieggen J. et al, (2025), Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference, 2025, 1 - 6

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation

Segal B. et al, (2025), Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference, 2025, 1 - 7

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes

Chauhan VK. et al, (2025), Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference, 2025, 1 - 7

Implementation framework for AI deployment at scale in healthcare systems

Adnan HS. et al, (2025), iScience, 28

Bridging the Generalisation Gap: Synthetic Data Generation for Multi-Site Clinical Model Validation

Segal B. et al, (2025)

RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction

Liu F. et al, (2025)

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