Researchers have developed an automated pain detection system based on Artificial Intelligence (AI) that has the potential to detect pain in patients before, during, and after surgery. The system uses computer vision and deep learning to measure patients’ discomfort. Traditional pain assessment tools can be influenced by racial and cultural biases, potentially resulting in poor pain management and worse health outcomes. Early pain diagnosis and treatment have been found to reduce hospital visits and avoid long-term health issues such as chronic pain, anxiety, and depression. The AI model was fed 143,293 facial images from 115 pain episodes and 159 non-pain episodes in 69 patients undergoing a variety of elective surgical operations. The computer was educated by the researchers by showing each raw facial image and informing it whether or not it reflected pain, and it learned to recognize patterns.
