A hospital in Hangzhou is trialing an AI-powered blood-drawing robot that uses cameras and near-infrared imaging to locate veins. Early results show a 94% first-try success rate, beating the average nurse (80–85%) and rivaling top human experts (~95%).
The pitch: faster draws, fewer misses, less stress for patients and a way to ease staffing shortages. But it also sparks uneasy questions. Can patients trust a machine over a human touch? And what happens if the “sniper bot” has an off day?
Automation in frontline healthcare is no longer sci-fi. The question is whether we’re ready to roll up our sleeves literally.
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