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Automated Intravascular Ultrasound Calcium Detection: Derivation and Validation of "The Calcigram".
JACC Cardiovasc Interv
February 2025
National Laboratory for Scientific Computing, LNCC/MCTI, Petrópolis, Brazil.
Rapid Blood Clot Removal via Remote Delamination and Magnetization of Clot Debris.
Adv Sci (Weinh)
March 2025
Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong (CUHK), Shatin, N.T., Hong Kong, China.
Micro/nano-scale robotic devices are emerging as a cutting-edge approach for precision intravascular therapies, offering the potential for highly targeted drug delivery. While employing micro/nanorobotics for stroke treatment is a promising strategy due to its ability to localize therapy and minimize drug dosage, current methods require prolonged treatment durations, increasing the risk of nerve tissue necrosis from extended hypoxia. Here a programmable colloidal microswarm capable of rapidly detaching blood clots from the vessel wall is developed, enabling swift recanalization without the need for complete clot degradation.
View Article and Find Full Text PDFOver the past two decades, intravascular optical coherence tomography (IVOCT) has emerged as a promising tool for planning percutaneous coronary interventions (PCI), studying coronary artery disease, and assessing treatments. With its nearhistological resolution and optical contrast, IVOCT uniquely evaluates coronary plaque characteristics, enhancing the guidance of interventional procedures. Artificial intelligence (AI) techniques have been widely applied to IVOCT imaging, providing fast and accurate automated interpretation.
View Article and Find Full Text PDFMulticlass plaque segmentation of coronary artery disease patients using an enhanced model.
Med Phys
March 2025
School of Medical Imaging, Department of Medical Technology, Tianjin Medical University, Tianjin, China.
Background: The analysis of coronary artery plaques in coronary artery disease (CAD) patients is instrumental in enabling cardiologists to administer personalized treatments and improve patient prognosis. Intravascular optical coherence tomography (IVOCT) provides precise insights into plaque characteristics.
Purpose: Enable cardiologists to provide personalized treatment for patients with CAD; the objective is to explore methods for swiftly and accurately automating the analysis of IVOCT data.
Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.
Catheter Cardiovasc Interv
February 2025
Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
Background: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses machine learning (ML) for automatic segmentation, promises to simplify lesion assessment. This study evaluated the agreement in stent size selection between ALA, an independent core laboratory (CL), and an expert interventional cardiologist (IC) for complex lesions.
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