DECODE: An open-source cloud-based platform for the noninvasive management of peripheral artery disease.

Background And Objective: Peripheral artery disease (PAD) is a progressive vascular condition affecting >237 million individuals worldwide. Accurate diagnosis and patient-specific treatment planning are critical but are often hindered by limited access to advanced imaging tools and real-time analytical support. This study presents DECODE, an open-source, cloud-based platform that integrates artificial intelligence, interactive 3D visualization, and computational modeling to improve the noninvasive management of PAD.

Computational modeling of drug-eluting balloons in peripheral artery disease: Mechanisms, optimization, and translational insights.

Drug-eluting balloons (DEBs) represent a promising alternative to stent-based interventions for peripheral artery disease (PAD), and their therapeutic efficacy is dependent on optimizing drug transfer, mechanical deployment, and vessel-wall interactions. This review synthesizes current advancements in computational modeling; systematically analyzes studies identified through comprehensive ScienceDirect, Scopus, and PubMed (2015-2025) searches; and selects them according to PRISMA guidelines. Key strategies, including computational fluid dynamics (CFD), finite element analysis (FEA), fluid-structure interaction (FSI), and machine learning (ML), are critically examined to elucidate how drug kinetics, coating stability, and mechanical stress govern therapeutic outcomes.

DECODE-3DViz: Efficient WebGL-Based High-Fidelity Visualization of Large-Scale Images using Level of Detail and Data Chunk Streaming.

The DECODE-3DViz pipeline represents a major advancement in the web-based visualization of large-scale medical imaging data, particularly for peripheral artery computed tomography images. This research addresses the critical challenges of rendering high-resolution volumetric datasets via WebGL technology. By integrating progressive chunk streaming and level of detail (LOD) algorithms, DECODE-3DViz optimizes the rendering process for real-time interaction and high-fidelity visualization.

Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study.

Background: In medical imaging, 3D visualization is vital for displaying volumetric organs, enhancing diagnosis and analysis. Multiplanar reconstruction (MPR) improves visual and diagnostic capabilities by transforming 2D images from computed tomography (CT) and magnetic resonance imaging into 3D representations. Web-based Digital Imaging and Communications in Medicine (DICOM) viewers integrated into picture archiving and communication systems facilitate access to pictures and interaction with remote data.