693 citations
- Hospital for Sick ChildrenCA15 papers
- University of TorontoCA14 papers
- Institute for Clinical Evaluative SciencesCA7 papers
- Public Health OntarioCA6 papers
- University College LondonGB6 papers
- Bayer (United Kingdom)GB2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Health Economics and Outcomes Research (United Kingdom)GB2 papers
- Johns Hopkins UniversityUS2 papers
- Laboratoire Psychologie de la PerceptionFR2 papers
- McGill University Health CentreCA2 papers
- Stanford UniversityUS2 papers
20 papers
Neural Minimum-Distance Estimation for Collision-Aware Operation of Multi-Arm Laparoscopy Surgical Robots Through Learning-from-Simulation
Sarvin Ghiasi, Majid Roshanfar, Jake Barralet +2
This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing minimum distance estimation be…
Learning-Based Modeling of a Magnetically Steerable Soft Suction Device for Endoscopic Endonasal Interventions
Majid Roshanfar, Alex Zhang, Changyan He +4
This paper introduces a learning-based modeling framework for a magnetically steerable soft suction device designed for endoscopic endonasal brain tumor resection. The device is mi…
Effect modification and non-collapsibility leads to conflicting treatment decisions: a review of marginal and conditional estimands and recommendations for decision-making
David M. Phillippo, Antonio Remiro-Azócar, Anna Heath +4
Effect modification occurs when a covariate alters the relative effectiveness of treatment compared to control. It is widely understood that, when effect modification is present, t…
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…