{"title":"AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems","authors":"Matthew Rizzo MD","doi":"10.1002/ana.27230","DOIUrl":null,"url":null,"abstract":"<p>This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real-world and synthetic data, digital twins, and innovative clinical trial designs, such as in silico and adaptive trials. The review emphasizes AI's ability to drive continuous improvements in care and discovery through comparative effectiveness research and learning health systems. The global healthcare implications discussed here tie back to earlier discussions on human-AI collaboration and precision care, underscoring the neurological sciences' responsibility to adopt AI advances judiciously, while managing their ethical, economic, and environmental impacts. ANN NEUROL 2025;98:651–667</p>","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 4","pages":"651-667"},"PeriodicalIF":7.7000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12447850/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Neurology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ana.27230","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real-world and synthetic data, digital twins, and innovative clinical trial designs, such as in silico and adaptive trials. The review emphasizes AI's ability to drive continuous improvements in care and discovery through comparative effectiveness research and learning health systems. The global healthcare implications discussed here tie back to earlier discussions on human-AI collaboration and precision care, underscoring the neurological sciences' responsibility to adopt AI advances judiciously, while managing their ethical, economic, and environmental impacts. ANN NEUROL 2025;98:651–667
期刊介绍：
Annals of Neurology publishes original articles with potential for high impact in understanding the pathogenesis, clinical and laboratory features, diagnosis, treatment, outcomes and science underlying diseases of the human nervous system. Articles should ideally be of broad interest to the academic neurological community rather than solely to subspecialists in a particular field. Studies involving experimental model system, including those in cell and organ cultures and animals, of direct translational relevance to the understanding of neurological disease are also encouraged.
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