Objective To develop and validate a Union Model integrating clinical features with radiomics signatures derived from intratumoral and peritumoral T2-weighted imaging (T2WI) and diffusion-weighted imag...
The recently published 2024 revisions of the McDonald criteria unified and expanded the diagnosis of MS towards a “biological diagnosis” and incorporated new MR imaging (bio)markers. Most prominently,...
Background: To systematically characterize foveal architecture and choroidal morphology in KIF11-associated retinopathy using multimodal imaging, and to assess for pachychoroid features using quantita...
Mobile imaging devices face significant variability in image quality due to differences in hardware, environmental conditions,and device-specific characteristics, posing challenges for consistent phot...
Battery management systems rely on equivalent-circuit models (ECMs) that become progressively wrong as the cell ages. Classical adaptive remedies — periodic parameter re-identification, extended Kalma...
Acute stroke lesions evolve rapidly, making it essential to model both temporal progression signals and anatomical constraints. DME-Net incorporates complementary temporal and spatial memory banks tha...
Seaweed cultivation faces scalability challenges due to labor-intensive biomass monitoring. Here, we demonstrate a low cost RGB imaging system for Ulva spp biomass estimation (0.5-5.0 g L−1 ) in land...
Background & Aims: Posthepatectomy liver failure (PHLF) is a major cause of morbidity and mortality following liver resection. Accurate preoperative prediction of posthepatectomy liver failure (PHLF) ...
Background: Accurate interpretation of thyroid ultrasound requires substantial experience, and diagnostic performance among trainees remains variable. Artificial intelligence (AI) has shown promise in...
This study introduces a Human–AI Co-Creation Design (HACD) Framework aimed at enhancing customer experience in the packaging design of traditional cultural products. Although artificial intelligence (...
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