{"title":"Artificial Intelligence and Predictive Modeling in the Management and Treatment of Episodic Migraine.","authors":"Aniket Natekar, Fred Cohen","doi":"10.1007/s11916-025-01364-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>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.</p><p><strong>Recent findings: </strong>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.</p>","PeriodicalId":50602,"journal":{"name":"Current Pain and Headache Reports","volume":"29 1","pages":"56"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Pain and Headache Reports","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11916-025-01364-5","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: 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.
Recent findings: 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.
期刊介绍：
This journal aims to review the most important, recently published clinical findings regarding the diagnosis, treatment, and management of pain and headache. By providing clear, insightful, balanced contributions by international experts, the journal intends to serve all those involved in the care and prevention of pain and headache.
We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as anesthetic techniques in pain management, cluster headache, neuropathic pain, and migraine. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
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