health AI hub
Health AI Hub Collaboratory Rounds bring together experts and practitioners to share and explore various aspects of AI lifecycle management in healthcare. These monthly gatherings are designed to keep you informed about the latest trends, best practices, and challenges in the dynamic field of healthcare AI.
Date and Time
June 18 at 4 PM ET / 1 PM PT
Topic
The CANAIRI in the coal mine: silent trials are critical to accountable AI translation
Session Description
The silent trial is perhaps the most valuable yet under-utilised tool in the lifecycle of AI governance. The CANAIRI Project is focused on building a toolkit to enable holistically scoped silent trials for diverse health settings to critically enable local governance. This presentation will discuss the motivations for CANAIRI, the results of our scoping study on silent trial practices across the globe, and emerging findings from our Delphi study. We will conclude by exploring next steps for the project, including intersection with regulators, health authorities, and consumers.
After registering, you will receive a confirmation email with the link to join the meeting.
Speaker

Melissa McCradden
A/Prof Melissa McCradden is a bioethicist and clinical researcher. She serves as the Artificial Intelligence Director and Deputy Research Director with the Women’s and Children’s Health Network, and a Deputy Director and The Hospital Research Foundation (THRF) Group Fellow at the Australian Institute for Machine Learning at the University of Adelaide. She is an Adjunct Scientist with the SickKids Research Institute and a member of the SickKids Research Ethics Board in Toronto, Canada. Dr. McCradden’s expertise is in the development of ethical frameworks derived from clinical and technical knowledge grounded in policy, law, and moral theory. She serves on multiple international reporting guideline initiatives and consortia, including the WHO/ITU’s Clinical Evaluation Task Force in the Focus Group on AI 4 Health, as well as the Centre of Excellence for Regulatory Science & Innovation in AI and Digital Health (CERSI-AI).
past health AI hubs
Hidden Essentials for AI Success
February 19, 2026
From Ideas to Impact: Hackathons Driving Health AI Innovation
January 29, 2026
Sustainably Advancing Health AI (SAHAI) Framework
November 20, 2025
An experience-led approach to digital and AI transformation
October 30, 2025
The AI Policy Landscape: Fragmentation or Framework?
July 31, 2025
The Future of AI Clinician Copilots
March 24, 2025
Who Is—and Who Should Be—Liable for Medical AI Errors?
February 27, 2025
Red-teaming AI Systems in Healthcare
December 18, 2024
AI Enablement at Mayo Clinic
November 21, 2024
LLMs, Bias, and the Implications for Equitable Healthcare
September 26, 2024
Current Use and Evaluation of Predictive Models in US Hospitals
August 29, 2024
Health AI Rights Developed By Patients For Patients
May 30, 2024
Understanding the AI Taxonomy: CPT Codes and the Pathway to Payment
February 29, 2024
Encoding Bioethics: AI in Clinical Decision Making
January 31, 2024