中国神经再生研究(英文版) ›› 2024, Vol. 19 ›› Issue (4): 717-718.doi: 10.4103/1673-5374.382249

• 观点:退行性病与再生 • 上一篇    下一篇

视频人工智能分析增强临床评估:综述

  

  • 出版日期:2024-04-15 发布日期:2023-09-15

Artificial intelligence analysis of videos to augment clinical assessment: an overview

David C. Wong*, Stefan Williams   

  1. University of Leeds; Stefan Williams, Leeds Teaching Hospitals Trust, Leeds, UK
  • Online:2024-04-15 Published:2023-09-15
  • Contact: David C. Wong, DPhil, d.c.wong@leeds.ac.uk.
  • Supported by:
    This work was supported by the NIHR I4I Program (NIHR203399) (to DCW and SW). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.

摘要: https://orcid.org/0000-0001-8117-9193 (David C. Wong)

Abstract:

Observation is a fundamental part of the practice of clinical medicine. Observation of movement is particularly important for the neurologist. Conditions such as Parkinson’s disease, multiple sclerosis, stroke, epilepsy, and many others affect a person’s movement in characteristic ways. In some conditions, changes in the patient’s voice can be included in this – changes in sound caused by changes in the movements of speech. The clinician’s detection of a characteristic abnormality, and their judgment of its severity, plays a central role in both diagnosis and the assessment of prognosis or response to treatment. However, that practice depends upon a limited resource of experienced experts. In addition, these experts are limited by human visual judgment, which cannot reliably or precisely detect and measure small or subtle changes in movement (Williams et al., 2023).