Background: Many ECG-AI models have been developed to predict a wide range of cardiovascular outcomes. The underrepresentation of women in cardiovascular disease studies has raised concerns if these m...

Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who have already receiv...

This spring, the BMS-ANed organises an in-person meeting:

Prediction models need reliable predictive performance as they inform clinical decisions, aiding in diagnosis, prognosis, and treatment planning. The predictive performance of these models is typicall...

Scientific Reports - Individual treatment effect estimation in the presence of unobserved confounding using proxies: a cohort study in stage III non-small cell lung cancer

Prediction models inform important clinical decisions, aiding in diagnosis, prognosis, and treatment planning. The predictive performance of these models is typically assessed through discrimination a...

Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text generation, reasoning, and decis...

In this postdoc position at LUMC, you will work on groundbreaking research that enhances the transparency and trustworthiness of decision support algorithms in healthcare. This position allows you to ...

The course takes an interdisciplinary approach and is suitable for applied researchers across health, social and behavioural sciences.

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PhD student SciML4Medicine: electrocardiography analysis with mathematical modeling and deep learning.

In this quarterly meeting, researchers from a network of 4 universities come together to present recent work on methods and applications of causal inference, followed by an informal networking session...

The course takes an interdisciplinary approach and is suitable for applied researchers across health, social and behavioural sciences.

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