走向人工智能在疼痛医学中的应用.
Marco Cascella1, Matteo L G Leoni2, Mohammed Naveed Shariff3
1Anesthesia and Pain Medicine, Department of Medicine, Surgery and Dentistry Scuola Medica Salernitana, University of Salerno, Baronissi, Italy.
Recenti progressi in medicina
|March 14, 2025
概括
人工智能 (AI) 提供了评估和管理疼痛的新方法,改善了所有患者的诊断. 人工智能技术分析生物信号和表达式,以客观评估疼痛,增强个性化治疗策略.
科学领域:
- 医疗信息学医学信息学
- 生物医学工程 生物医学工程
- 治疗疼痛的药物 疼痛的药物
背景情况:
- 疼痛是一种复杂的,多维的经验,具有诊断和管理挑战.
- 慢性疼痛涉及生物,心理和社会因素,使评估和治疗复杂化.
- 人工智能 (AI) 正在彻底改变医疗保健,为医疗应用提供新的工具.
研究的目的:
- 为了概述人工智能在疼痛治疗方面的最新进展.
- 突出AI在客观疼痛评估的自动疼痛评估 (APA) 中的潜力.
- 讨论人工智能在疼痛管理中的更广泛应用,包括个性化治疗和对阿片类药物使用障碍的预测.
主要方法:
- 审查当前用于疼痛医学的AI技术.
- 探索机器学习算法和深度学习架构 (例如自然语言处理) 的 APA.
- 分析人工智能在处理生物信号,面部表情和语音模式中的作用,以检测疼痛.
主要成果:
- 人工智能,特别是APA方法,显示出对更客观的疼痛评估有希望.
- 人工智能可以分析各种数据类型 (生物信号,面部表情,语音) 来评估疼痛.
- 人工智能应用扩展到个性化疼痛治疗,预测阿片类药物使用障碍和增强远程医疗.
结论:
- 人工智能技术在疼痛医学方面取得了重大进展,从诊断到个性化治疗.
- 使用人工智能的自动疼痛评估 (APA) 提供了客观的措施,对非沟通患者至关重要.
- 解决验证,参数选择和伦理考虑等挑战对于AI在疼痛管理中的实施至关重要.
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