Latest AI and machine learning research in strokes for healthcare professionals.
Clinical risk scores that predict outcomes in patients with atrial fibrillation (AF) have modest pre...
BACKGROUND: In older adults with hypertension, hip fractures accompanied by preoperative acute heart...
Stroke is a life-threatening medical condition that could lead to mortality or significant sensorimo...
BACKGROUND: Worldwide, cardiovascular diseases are the primary cause of death, with hypertension as ...
BACKGROUND: The global incidence of hypertension, a condition of elevated blood pressure, is rising ...
Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term functional disab...
Clinical studies have proved significant improvements in hand motor function in stroke patients when...
Timely and precise identification of acute ischemic stroke (AIS) within 4.5Â h is imperative for effe...
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications i...
PURPOSE: To examine the impact of deep learning-augmented contrast enhancement on image quality and ...
Bone age estimation (BAE) is based on skeletal maturity and degenerative process of the skeleton. Th...
BACKGROUND: Multicenter electronic health records can support quality improvement and comparative ef...
BACKGROUND: In recent years, hypertension has been one of the most important noncommunicable disease...
This study aims to use machine learning model to predict laboratory aspirin resistance (AR) in Chine...
Amide proton transfer (APT) imaging, a technique sensitive to tissue pH, holds promise in the diagno...
Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...
Arterial hypertension is a major risk factor for cardiovascular diseases. While cardiac ultrasound i...
INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degene...
OBJECTIVE: To examine robotic interventions for upper limb rehabilitation poststroke, focusing on ge...
OBJECTIVE: This study aims to investigate whether a deep learning approach incorporating retinal blo...
Atrial fibrillation (AF) is a severe condition associated with high morbidity and mortality, includi...