microsoft/Exp-HAIC
Experimental Platform for Human AI Collaboration - Code for the paper "Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging" published at FAccT 2022
This platform helps researchers study how veterinary radiologists make decisions when interpreting X-ray images with AI assistance. You can input real or placeholder X-ray images and experiment with different human-AI workflows, observing how AI confidence, saliency maps, or failure explanations impact diagnostic accuracy. This is ideal for researchers in human-computer interaction, AI ethics, or medical imaging who want to understand and improve clinical decision-making.
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Use this if you are a researcher designing experiments to understand the impact of AI tools on human decision-making in clinical imaging.
Not ideal if you are a veterinary radiologist looking for a production-ready diagnostic tool or a developer integrating AI into an existing clinical system.
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MIT
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Last pushed
Oct 12, 2023
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