381 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA46 papers
- SickKids FoundationCA15 papers
- University College LondonGB11 papers
- Public Health OntarioCA8 papers
- Institute for Clinical Evaluative SciencesCA7 papers
- Stanford UniversityUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Toronto Western HospitalCA4 papers
- University of California, BerkeleyUS4 papers
- Centro de Investigación y Docencia EconómicasMX3 papers
- Harvard UniversityUS3 papers
- Johns Hopkins UniversityUS3 papers
4 papers · 1 filter
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records
Lin Lawrence Guo, Jason Fries, Ethan Steinberg +6
Foundation models hold promise for transforming AI in healthcare by providing modular components that are easily adaptable to downstream healthcare tasks, making AI development mor…
Methodological considerations for novel approaches to covariate-adjusted indirect treatment comparisons
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
We examine four important considerations in the development of covariate adjustment methodologies for indirect treatment comparisons. Firstly, we consider potential advantages of w…
Model-based standardization using multiple imputation
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
When studying the association between treatment and a clinical outcome, a parametric multivariable model of the conditional outcome expectation is often used to adjust for covariat…
Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry
Tina Yao, Nicole St. Clair, Gabriel F. Miller +13
Purpose: To develop and evaluate an end-to-end deep learning pipeline for segmentation and analysis of cardiac magnetic resonance images to provide core-lab processing for a multi-…