Natekar Aniket, Cohen Fred
Department of Neurology, OhioHealth Physician Group, Columbus, USA.
Department of Neurology, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, USA.
Curr Pain Headache Rep. 2025 Feb 26;29(1):56. doi: 10.1007/s11916-025-01364-5.
Artificial intelligence (AI) has impacted different aspects of headache medicine, from history taking and diagnosis to drug development. AI has been shown to have predictive modeling in helping diagnose migraine and assist with patient care. Additionally, this technology has been adapted to help non-headache specialists with headache management. Similar practices have expanded to help diagnose cluster headache. AI has also been used to help streamline patient visits, and identify new drug targets.
Various forms of AI models have been implemented in headache medicine; these have ranged from diagnosis engines to models helping track headache triggers. Additionally, AI has been used to assist in clinical trials and to help predict placebo responses to different medications. There are still several limitations with AI in setting of headache medicine. AI and diagnosis models have a role to play in headache medicine. However, technology is still in its infancy and limitations do exist.
人工智能（AI）已对头痛医学的各个方面产生影响，从病史采集、诊断到药物研发。人工智能已被证明在帮助诊断偏头痛和协助患者护理方面具有预测模型。此外，这项技术已被应用于帮助非头痛专科医生进行头痛管理。类似的做法已扩展到帮助诊断丛集性头痛。人工智能还被用于帮助简化患者就诊流程，并识别新的药物靶点。
各种形式的人工智能模型已在头痛医学中得到应用；这些模型从诊断引擎到帮助追踪头痛触发因素的模型不等。此外，人工智能已被用于协助临床试验，并帮助预测对不同药物的安慰剂反应。在头痛医学领域，人工智能仍存在一些局限性。人工智能和诊断模型在头痛医学中可发挥作用。然而，这项技术仍处于起步阶段，局限性确实存在。
