Advances in artificial intelligence have cultivated a strong interest in developing and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …

Stroke is an emergency in which delays in treatment can lead to significant loss of
neurological function and be fatal. Technologies that increase the speed and accuracy of …

Stroke is a disease of disparities, with tremendous racial and ethnic inequities in incidence,
prevalence, treatment, and outcomes. The accumulating literature on the relationship …

Background Loosening is the leading cause of total knee arthroplasty (TKA) revision. This is
a heavy burden toward the healthcare system owing to the difficulty in diagnosis and …

Among the high prevalence of cerebrovascular diseases nowadays, acute ischemic stroke
stands out, representing a significant worldwide health issue with important socio-economic …

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

Kirigami-inspired designs hold great potential for the development of functional materials
and devices, but predicting the morphological configuration of these structures under …

The integration of wearable sensor technology and machine learning algorithms has
significantly transformed the field of intelligent medical rehabilitation. These innovative …

Atrial fibrillation (AF) is a common and serious disease. Its diagnosis usually requires 12-
lead electrocardiogram, which is heavy and inconvenient. At the same time, the venue for …

Atrial fibrillation (AF) underlies almost one third of all ischaemic strokes, with the left atrial
appendage (LAA) identified as the primary thromboembolic source. Current stroke risk …