数字表型在神经外科的应用进展  

Application of digital phenotyping in neurosurgery

作　　者：杨沛轩 白璐 梁丰[1] YANG Peixuan;BAI Lu;LIANG Feng(The First Affiliated Hospital of Sun Yat-sen University,No.58 Zhongshan Second Road,Guangzhou 510080,China)

机构地区：[1]中山大学附属第一医院神经外科,广州510080

出　　处：《中国神经精神疾病杂志》2025年第3期169-173,共5页Chinese Journal of Nervous and Mental Diseases

摘　　要：数字表型(digital phenotyping)是一种通过收集个人数字设备的数据来跟踪个人行为模式并进行实时量化的技术。在神经外科领域,数字表型通过收集患者的步数、活动距离和GPS等反映患者活动功能的客观数据,评估其康复情况。该技术有高频次、客观的数据采集优势,还具备个性化、经济性等优点,但同时也面临着伦理、隐私和数据处理等挑战。未来数字表型需在完善伦理框架的同时,深化多病种研究并开发动态干预模型,以推动神经外科精准医疗发展。Digital phenotyping is increasingly used in the medical field as a moment-by-moment quantification of individual human phenotypes using data from personal digital devices,such as smartphones and wearable sensors.Using this technology to obtain various kinds of data in patients’daily life for analysis can better predict the outcome of surgical patients and provide personalized treatment.In neurosurgery,digital phenotyping primarily focuses on monitoring postoperative outcomes in spinal surgery patients.Most studies employ objective data such as step counts,activity distances,and GPS trajectories to reflect functional mobility changes and assess rehabilitation progress.This technology demonstrates advantages including high-frequency objective data collection,personalization,and cost-effectiveness,yet faces challenges related to ethics,privacy and data processing.Future development of digital phenotyping requires refining ethical frameworks while advancing multi-disease research and developing dynamic intervention models to promote precision medicine in neurosurgery.

关 键 词：数字表型 神经外科 智能手机 被动数据 手术预后 

分 类 号：R651[医药卫生—外科学]