Bridging Transparency, Security, and Performance Gaps in Medical AI
Explore a research dashboard that examines how model export tools such as Pickle, ONNX, and PMML affect the transparency, reliability, and safety of machine learning models in healthcare. Measure inference speed, deployment time, and performance variation across formats within a unified, reproducible interface.
Dashboard Capabilities
Explore the key analytical and security features available in the Dashboard.
Comparative Inference and Deployment Analysis
Performance Benchmarking Across Export Formats
Ready to explore the dashboard?
About Us
HIVE Lab
The Health Informatics, Visualization, and Equity (HIVE) Lab in the Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health at the University of Toronto is a group of data scientists, epidemiologists, and software developers working at the interface of Machine Learning, AI, Information Visualization, and Health Informatics.
