The clinical impact of AI begins only after it crosses the ‘trust threshold.’ The AIDE Lab helps clinical AI earn that trust.
David Larson, MD, MBA
Co-Director, AIDE Lab
Professor, Radiology
The AIDE Lab develops the tools and frameworks necessary to assess how AI algorithms add value to physicians, hospitals, and most importantly, patients.
Akshay Chaudhari, PhD
Co-Director, AIDE Lab
Assistant Professor, Radiology
The clinical impact of AI begins only after it crosses the ‘trust threshold.’ The AIDE Lab helps clinical AI earn that trust.
David Larson, MD, MBA
Co-Director, AIDE Lab
Professor, Radiology
The AIDE lab develops the tools and frameworks necessary to assess how AI algorithms add value to physicians, the hospital, and most importantly, the patients.
Akshay Chaudhari, PhD
Co-Director, AIDE Lab
Assistant Professor, Radiology
leverage machine learning techniques to address inefficiencies and challenges in maintaining high quality in imaging-based healthcare
comprehensively assess AI by focusing on real-world clinical variables to understand model capabilities and limitations
develop strategies and recommendations to conduct robust quality assessments of AI models
build tools to detect anomalies, performance deviations, and potential risks associated
with AI deployment
evaluate and curate AI tools to ensure that radiologists are getting high-quality applications that directly impact their work
facilitate large-scale testing with local data to ensure performance and perform pre-work for subsequent monitoring
measure expected benefits, detect and analyze new failure modes, and recommend actions to correct for performance deviations
