The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …

Artificial intelligence technology is a rapidly expanding field with many applications in acute
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …

Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification
of lesion burden and accurate image processing. Current automated lesion segmentation …

The use of AI systems in healthcare for the early screening of diseases is of great clinical
importance. Deep learning has shown great promise in medical imaging, but the reliability …

Accurate segmentation of infant brain magnetic resonance (MR) images into white matter
(WM), gray matter (GM), and cerebrospinal fluid is an indispensable foundation for early …

Abstract Large Vision-Language Models (LVLMs) have demonstrated remarkable
capabilities in various multimodal tasks. However their potential in the medical domain …

Importance Predicting infarct size and location is important for decision-making and
prognosis in patients with acute stroke. Objectives To determine whether a deep learning …

Management of stroke highly depends on informa-tion from imaging studies. Noncontrast
computed tomography (CT) and magnetic resonance imaging (MRI) can both be used to …