A Survey on the Cognition, Attitude, and Functional Requirements of Digital Intelligent Diagnosis and Treatment Among Neurologists of Different Seniority

doi:10.3969/j.issn.1673-5765.2025.01.010

Abstract

Abstract: Objective To explore the cognition, attitude, and functional requirements of neurologists with different seniority on artificial intelligence (AI) assisted diagnosis and treatment, analyze their main concerns and worries, and provide a basis for the application and promotion of AI technology in neurology.
Methods A nationwide online questionnaire survey was used to collect the relevant data from 174 neurologists, covering multi-dimensional factors such as professional titles, seniority, and hospital levels. Through quantitative and qualitative analyses, the cognitive level of neurologists on AI technology, the current usage status, functional requirements, and their views on future medical changes were analyzed.
Results The survey showed that neurologists’ overall cognition of AI technology was limited. 58.62% (102/174) of the neurologists had varying degrees of knowledge in the field of AI, while among the neurologists with senior professional titles, this proportion was only 41.67% (5/12). 40.23% (70/174) of the neurologists had tried to use AI tools, while the proportion of undetermined-level medical students who had tried AI tools was 71.43% (15/21). Neurologists generally hold a positive attitude towards the clinical application prospects of AI, with 89.08% (155/174) of the neurologists recognizing that AI technology would lead to medical reform. Neurologists had the most urgent requirements for the functions of intelligent image interpretation, clinical guideline matching, and medical record generation, with weighted scores of 5.21 points, 4.41 points, and 4.36 points, respectively. The subjects believed that the main barrier for the application of AI tools in medical treatment was the lack of easily accessible and practical AI tools (62.07%, 108/174), while the main risk was the inaccurate judgment of diseases by AI technology (76.44%, 133/174).
Conclusions To promote the clinical application of AI technology in neurology, efforts should be made in education and training, technology optimization, and policy support, providing customized solutions based on the actual needs of neurologists. The future development of AI should focus on the transparency and practicality of the technology to facilitate the intelligent transformation of the medical model.

Key words: Artificial intelligence; Neurology; Attitude; Survey

摘要： 目的探讨不同年资神经内科医师对人工智能（artificial intelligence，AI）辅助诊疗的认知、态度及功能需求，分析其主要关注点和担忧，为AI技术在神经内科的应用推广提供依据。
方法采用全国范围内在线问卷调查的形式，收集174名神经内科医师的相关数据，涵盖职称、年资和医院级别等多维度因素。通过定量和定性分析，分析医师对AI技术的认知水平、使用现状、功能需求以及对未来医学变革的看法。
结果调查显示，神经内科医师对AI技术的总体认知有限，58.62%（102/174）的医师对AI领域的知识有不同程度的了解，而在高级职称医师中这一比例仅有41.67%（5/12）；40.23%（70/174）的医师尝试使用过AI工具，而神经病学专业未定级/医学生尝试过AI工具的比例达71.43%（15/21）。神经内科医师对AI的临床应用前景普遍持积极态度，89.08%（155/174）的医师认可AI技术将会引领医学变革。医师对影像智能判读、临床指南匹配和病历生成功能的需求最为迫切，加权得分分别为5.21分、4.41分、4.36分。调查对象认为AI工具应用于医疗的最主要障碍是缺少易获取且实用的AI工具（62.07%，108/174），最主要风险是AI技术对疾病的判断不准确（76.44%，133/174）。
结论推动AI技术在神经内科的临床应用需从教育培训、技术优化和政策支持入手，针对医师的实际需求提供定制化解决方案。未来AI的发展应注重技术的透明性和实用性，助力医疗模式向智能化转型。

关键词: 人工智能; 神经病学; 态度; 调查

CLC Number:

R74
R318

PI Jingtao, YIN Wei, SONG Xiaowei, WU Haiyan, LIANG Yifan, GAO Ceshu, WEI Chenming, SANG Zhenhua, AN Zhiming, JIANG Yanmin, WU Yating, MU Jingyu, ZHAO Xinyi, CHEN Le, WU Jian. A Survey on the Cognition, Attitude, and Functional Requirements of Digital Intelligent Diagnosis and Treatment Among Neurologists of Different Seniority[J]. Chinese Journal of Stroke, 2025, 20(1): 78-86.

邳靖陶, 尹伟, 宋晓微, 武海岩, 梁怡凡, 高策舒, 魏宸铭, 桑振华, 安志明, 江燕敏, 吴雅婷, 牟婧宇, 赵心怡, 陈乐, 武剑. 不同年资神经内科医师对数智化诊疗的认知、态度及功能需求现状调查[J]. 中国卒中杂志, 2025, 20(1): 78-86.

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