Children's Hospital of Eastern Ontario

A Globally Optimal k-Anonymity Method for the De-Identification of Health Data

Khaled El Emam, Fida K. Dankar, Romeo Issa et al.

2009 · 238 Zit.

Comparing predictions made by a prediction model, clinical score, and physicians

Ken Farion, Wojtek Michalowski, Dympna O’Sullivan et al.

2013 · 48 Zit.

Isolated Fractures of the Tibia with Intact Fibula in Children: A Review of 95 Patients

Jianping Yang, R. Merv Letts

1997 · 33 Zit.

Quality control for crowdsourcing citation screening: the importance of assessment number and qualification set size

Nassr Nama, Nick Barrowman, Katie O’Hearn et al.

2020 · 32 Zit.

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

Khaled El Emam, Tiffany I. Leung, Bradley Malin et al.

2024 · 13 Zit.

Evaluation of Radiology Request Forms in a Tertiary Care Hospital: An Audit With a Focus on the Impact of Technological Intervention

Muhammad Danish Barakzai, Zara Za Sheer, Muhammad Azeemuddin et al.

2021 · 10 Zit.

Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes

Willie Chang, Pouria Mashouri, Alexander X. Lozano et al.

2020 · 6 Zit.

Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma)

Vincent Lau, Alexandra Binnie, John Basmaji et al.

2021 · 6 Zit.

Developing an artificial intelligence-based clinical decision-support system for chest tube management: user evaluations & patient perspectives of the Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA) system

Adnan El Adou Mekdachi, Jamie Strain, Stuart G. Nicholls et al.

2023 · 6 Zit.

Can medical students use artificial intelligence to learn transfusion? Evaluating <scp>ChatGPT</scp> responses to the American Society of Hematology medical student transfusion learning objectives

Eileen McBride, Elaine Leung, Jason C. Ford

2025 · 5 Zit.

The Transformative Potential of AI in Obstetrics and Gynaecology

Kevin Dick, James M. Humber, Robin Ducharme et al.

2023 · 5 Zit.

Protecting patient privacy in tabular synthetic health data: a regulatory perspective

Lisa Pilgram, Haksoo Ko, Adeline Tung et al.

2025 · 4 Zit.

Exploring Early Perceptions and Experiences of ChatGPT in Pediatric Critical Care: A Qualitative Study Among Healthcare Professionals

Mohamad-Hani Temsah, Noura Abouammoh, Mohammed Alsatrawi et al.

2024 · 3 Zit.

Artificial Intelligence and the future of clinical trials

Consolato Sergi, Howard D Sesso

2025 · 3 Zit.

Artificial Intelligence-Based Large Language Models Can Facilitate Patient Education

Xochitl Bryson, Marleni Albarran, Nicole S. Pham et al.

2025 · 3 Zit.