Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease - Summary - MDSpire

Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease

  • By

  • Hongyu Zhou

  • Ziyang Liu

  • Jing Jing

  • Hongqiu Gu

  • Lingling Ding

  • Yingyu Jiang

  • Hao Liu

  • Jinxin Zhao

  • Wanlin Zhu

  • Yuesong Pan

  • Yong Jiang

  • Xia Meng

  • Xuewei Xie

  • Zhe Zhang

  • Jian Cheng

  • Yubo Fan

  • Yilong Wang

  • Xingquan Zhao

  • Hao Li

  • Zixiao Li

  • Tao Liu

  • Yongjun Wang

  • December 8, 2025

  • 0 min

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Objective:

To evaluate the prognostic utility of brain age, specifically the brain age gap (BAG), as a predictor of stroke recurrence in patients with acute ischemic cerebrovascular disease (AICVD), highlighting its significance in improving risk stratification.

Key Findings:
  • BAG independently predicted stroke recurrence at both 3 months and 5 years, indicating its potential as a reliable biomarker.
  • BAG outperformed chronological age in predicting recurrence risk, suggesting a shift in how stroke risk is assessed.
  • Incorporating BAG into existing prediction models improved their discriminative performance, enhancing clinical decision-making.
Interpretation:

The findings suggest that BAG is a valuable biomarker for assessing stroke recurrence risk, supporting its use in AI-driven strategies for secondary stroke prevention and its integration into clinical workflows.

Limitations:
  • The study is limited to AICVD patients and may not generalize to other stroke types, necessitating further research.
  • Potential biases in the multicenter cohort could affect the results, highlighting the need for careful interpretation of findings.
Conclusion:

The study highlights the potential of using brain age estimation through deep learning as a novel approach for improving risk stratification in stroke recurrence, emphasizing the need for future research to validate these findings.

Original Source(s)

Deep learning-based brain age predicts stroke recurrence in acute ischemic cerebrovascular disease

  • by Hongyu Zhou, Ziyang Liu, Jing Jing, Hongqiu Gu, Lingling Ding, Yingyu Jiang, Hao Liu, Jinxin Zhao, Wanlin Zhu, Yuesong Pan, Yong Jiang, Xia Meng, Xuewei Xie, Zhe Zhang, Jian Cheng, Yubo Fan, Yilong Wang, Xingquan Zhao, Hao Li, Zixiao Li, Tao Liu, Yongjun Wang

  • December 8, 2025

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