Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed concrete beams, machine learning (ML) has been wid... read more
International journal of colorectal disease
Jan 20, 2026
BACKGROUND: Magnetic resonance imaging (MRI) is widely used for the diagnosis, evaluation, and follow-up of intestinal diseases. With advances in artificial intelligence, MRI radiomics and deep learning have emerged as promising tools for prognostic ... read more
Multimodal Machine Learning (MML) methods address various efficient ways of driving insights from various data modalities, e.g., in healthcare settings, tabular electronic health records along with other modalities, such as medical imaging, electroca... read more
Metalenses offer wafer-scale, ultra-thin optics for compact cameras, but strong chromatic and field-dependent aberrations still limit their practical use. Deep learning-based aberration correction can restore high-quality images from metalens capture... read more
Surface water quality forecasting is crucial for pollution early warning and sustainable water resource management. However, accurate prediction of key water quality indicators remains challenging due to the highly nonlinear spatio-temporal dynamics ... read more
To develop a deep learning-based computer-aided diagnostic model for the automated identification of corneal microneuromas from in vivo confocal microscopy (IVCM) images and to preliminarily assess its potential clinical utility in the context of dia... read more
Breast cancer presents substantial molecular heterogeneity, requiring accurate subtype classification, receptor-status prediction, and survival estimation for precision care. Existing machine-learning models often fail to generalize across cohorts or... read more
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