🚨 Predictive models tell us what will happen. 🧠 Causal models tell us what happens IF we intervene. ❓...
In healthcare, this gap is dangerous.
I just finished building CausalSepsis-DI v2, an end-to-end Healthcare Decision Intelligence system that bridges the gap between causal estimation and safe clinical action.
Should we administer early antibiotics to this ICU patient to reduce length of stay?
Traditional ML answers: "Predicted ICU stay: 8.5 days"
Instead of forcing binary treat / don't treat decisions (which can be dangerous when uncertainty is high), the system outputs three actions:
Sometimes, the best response for a predictive ML system is to pause, acknowledge that it does not have enough information and…
Every day, across thousands of American hospitals, artificial intelligence quietly shapes decisions that determine patient…
A Carnegie Mellon University School of Computer Science student recently showed that large language models (LLMs) intermittently…
"Patients and doctors need a nuanced take on the risks and benefits of using AI."
My AI agent has a problem. When it's not sure about something — should it admit uncertainty, or...
Subtitle: A system-design view of moving from risk prediction to intervention simulation** Over the...
