Stroke is a leading cause of disability and mortality worldwide, necessitating the
development of advanced technologies to improve its diagnosis, treatment, and patient …

Stroke is a leading cause of disability and mortality worldwide, necessitating the
development of advanced technologies to improve its diagnosis, treatment, and patient …

Stroke is one of the leading causes of death and disability worldwide. In recent years,
machine learning (ML) methods have been increasingly applied to stroke care. This …

The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …

Machine learning—the ability of computers to “learn” to perform a task rather than being
explicitly programmed for the purpose—has seen significant developments in recent years …

随着人工智能技术的迅速发展, 机器学习算法广泛应用于脑卒中诊断, 治疗, 预后各阶段,
并表现出巨大的应用潜力. 本文从机器学习算法研究, 机器学习算法在脑卒中诊断与分类诊断 …

Machine Learning (ML) through pattern recognition algorithms is currently becoming an
essential aid for the diagnosis, treatment, and prediction of complications and patient …

Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …

Real-world, intelligent application of artificial intelligence (AI) for augmented stroke care has
dramatically expanded in the last several years. In this volume, we use the term AI to refer to …

Stroke is a leading cause of disability and death. The condition requires prompt diagnosis
and treatment. The quality of care provided to patients with stroke can vary depending on the …