Andrew M. Ibrahim: AI in Stroke Care and the Evidence Gap in Healthcare Delivery
Andrew M. Ibrahim, Chief Clinical Officer and Surgeon-Scientist at Viz.ai, George D. Zuidema Professor at University of Michigan, shared on LinkedIn about a recent article published in Nature Medicine, adding:
”This Nature Medicine paper has been generating a lot of discussion, particularly around the claim that there is limited evidence that AI meaningfully improves healthcare delivery.
I agree with the broader concern – many AI tools are entering the market faster than high-quality evidence is being generated.
But I think it’s important not to overgeneralize.
There are already examples of AI tools in clinical use for several years (8+), with prospective and multi-site evidence showing measurable impact on care delivery and outcomes that are widely agreed upon:
JAMA Neurology (stepped-wedge, multi-site RCT)
AI-enabled stroke triage reduced door-to-groin time (~12 minutes) and was associated with a significant reduction in mortality.
JNNP / BMJ (multi-site, difference-in-differences)
AI implementation in stroke networks was associated with improved workflow efficiency, increased EVT utilization, and meaningful cost savings (~$3,600 per episode).
Journal of Vascular Surgery: Venous (retrospective, real-world)
AI-supported PE workflows were associated with reduced in-hospital mortality (8.4% → 2.2%) and faster time to treatment in a single health system.
It’s right to ask for more evidence, but we should also not overlook that many AI tools do have an existing evidence base.”
Title: Show us the evidence for the value of medical AI
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