Agentic AI systems are on the rise in healthcare, but most only output binary decisions. This post provides options to turn those decisions into continuous scores so we can still use AUC for fair model comparison.
Doctors and data scientist, here is an intro to IDI and NRI with a Python coded example. AUCs may not always be enough and this post allows you to go beyond the curve
I work at Optum AI as a Senior AI/ML Engineer, building health AI systems that span healthcare foundation models, clinician-facing generative AI solutions, model evaluation, and responsible AI review.
I worked as a Postdoctoral Researcher at the University of Washington School of Medicine, building translational imaging, NLP, and computer vision tools for predictive biomarker research and clinical trial support.
AI and deep learning predict all-cause mortality from single and sequential body composition imaging, showcasing the power of longitudinal models in healthcare.