Alberta Children's Hospital

The potential role for artificial intelligence in fracture risk prediction

Namki Hong, Danielle E. Whittier, Claus‐C. Glüer et al.

2024 · 40 Zit.

Fairness-related performance and explainability effects in deep learning models for brain image analysis

Emma A. M. Stanley, Matthias Wilms, Pauline Mouchès et al.

2022 · 37 Zit.

An international study presenting a federated learning AI platform for pediatric brain tumors

Edward H. Lee, Michelle Han, Jason L. Wright et al.

2024 · 32 Zit.

Machine learning predicts risk of cerebrospinal fluid shunt failure in children: a study from the hydrocephalus clinical research network

Andrew T. Hale, Jay Riva-Cambrin, John C. Wellons et al.

2021 · 24 Zit.

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

Emma A. M. Stanley, Raissa Souza, Anthony Winder et al.

2024 · 20 Zit.

Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis

Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert

2022 · 17 Zit.

Challenges and Potential of Artificial Intelligence in Neuroradiology

Anthony Winder, Emma A. M. Stanley, Jens Fiehler et al.

2024 · 8 Zit.

On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity

Raissa Souza, Emma A. M. Stanley, Nils D. Forkert

2023 · 5 Zit.

Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine

Hashim Kareemi, Henry Li, Akshay Rajaram et al.

2025 · 4 Zit.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Maximilian Zenk, Ujjwal Baid, Sarthak Pati et al.

2025 · 3 Zit.

Opening the black box: challenges and opportunities regarding interpretability of artificial intelligence in emergency medicine

Akshay Rajaram, Henry Li, Jessalyn K. Holodinsky et al.

2025 · 2 Zit.

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

Emma A. M. Stanley, Raissa Souza, Anthony Winder et al.

2023 · 2 Zit.

Applications of artificial intelligence in healthcare simulation: a model of thinking

Adam Cheng, Carolyn McGregor

2025 · 2 Zit.

Developing a prototype for federated analysis to enhance privacy and enable trustworthy access to COVID-19 research data

Solmaz Eradat Oskoui, Matthew Retford, Eoghan Forde et al.

2024 · 2 Zit.

98 Pivoting in a pandemic: opportunities for injury surveillance using video analysis in sport

Stephen West, Isla Shill, Carolyn Emery

2022 · 1 Zit.