AINeutralIEEE Spectrum – AI · Jan 124/107
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Machine-Learning System Monitors Patient Pain During Surgery
Researchers developed a contactless machine-learning system that monitors patient pain during surgery by analyzing facial expressions and heart rate data via remote photoplethysmogram (rPPG). The system achieved 45% accuracy when tested on realistic surgical footage, offering a non-invasive alternative to traditional pain monitoring methods that require wired sensors.