Until 100%recovery research is out there, artificial intelligence isn't going to do much good. Wrong goal: the only goal in stroke is 100% recovery! GET THERE! Predictions and 'management' DO NOTHING FOR RECOVERY! If you are that fucking stupid; you need to be fired!
Application of artificial intelligence in prediction and management of stroke rehabilitation
Weihua Song1,#, Shuai Si2,#, Yinghui Wang3, Hong Chang1,*, Xiaoying Tang2,*
1. Department of Neurology, Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital,
Capital Medical University, Beijing, China
2. School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of
Technology, Beijing, China
3. Luohe Orthopedic Hospital, Luohe, China
Corresponding author: Hong Chang (changhong@xwhosp.org); Xiaoying Tang (xiaoying@bit.edu.cn)
# Those authors contributed equally to this work
Abstract:
Artificial intelligence (AI) is being studied across the stroke care pathway, but evidence
from acute diagnosis, early prognosis, rehabilitation-outcome prediction, and long-term management is
often discussed without clearly separating these clinical tasks. This structured narrative review adds an
integrated framework that maps each application to its decision point, relevance to rehabilitation,
validation level, and readiness for clinical use. Unlike previous technology-centred reviews, it
explicitly separates acute prognostic evidence from rehabilitation-specific evidence and distinguishes
technical performance from transportability, clinical impact, and rehabilitation benefit. Acute imaging
and prognostic models may provide baseline information for later rehabilitation planning, but their
diagnostic or prognostic performance does not establish rehabilitation efficacy. Most rehabilitation
models and robotic, virtual-reality, brain-computer interface, wearable, and home-monitoring
applications remain supported mainly by internal validation or early exploratory studies. Small or
selected datasets, limited external and prospective validation, uncertain workflow effects, and sparse
patient-centred outcomes continue to constrain clinical interpretation
No comments:
Post a Comment