概化理论
心理干预
围手术期
杠杆(统计)
人工智能
医学
疼痛管理
计算机科学
风险分析(工程)
机器学习
心理学
物理疗法
精神科
发展心理学
外科
作者
Ruba Sajdeya,Samer Narouze
标识
DOI:10.1097/aco.0000000000001408
摘要
Artificial intelligence (AI) has the potential to enhance perioperative pain management by providing more accurate predictive models and personalized interventions. By leveraging ML algorithms, clinicians can better identify at-risk patients and tailor treatment strategies accordingly. However, successful implementation needs to address challenges in data quality, algorithmic complexity, and ethical and practical considerations. Future research should focus on validating AI-driven interventions in clinical practice and fostering interdisciplinary collaboration to advance perioperative care.
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