Most people are able to communicate in an expressive manner when they are in pain. But what about people who are not able to report their pain experience or whose expression of pain is hard to interpret? Examples include individuals suffering from dementia, patients developing delirium, and newborns. Techniques that provide a reliable assessment of pain experience are a prerequisite for effective pain therapy. Due to recent advances in the automated detection and analysis of behavioral cues, the question arises of whether these techniques may help assess pain-related states in a reliable manner. Physical pain is closely related to emotional states that may modulate the experience of pain and vice versa. Furthermore, principles and techniques from affective computing provide a solid basis for the automated analysis of pain-related states. Thus, it comes as no surprise that research on pain has increasingly attracted the interest of the affective computing community.

中文翻译：

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人工智能能够帮助进行疼痛评估吗？

大多数人在痛苦时都能够以富有表现力的方式进行交流。但是那些无法报告他们的疼痛经历或疼痛表达难以解释的人呢？例子包括患有痴呆症的个体、出现谵妄的患者和新生儿。提供可靠的疼痛体验评估的技术是有效疼痛治疗的先决条件。由于行为线索的自动检测和分析的最新进展，出现了这些技术是否有助于以可靠的方式评估疼痛相关状态的问题。身体疼痛与情绪状态密切相关，情绪状态可能会调节疼痛的体验，反之亦然。此外，情感计算的原理和技术为疼痛相关状态的自动分析提供了坚实的基础。因此，