Human activity recognition (HAR) faces significant challenges in effectively capturing multi-scale temporal patterns while maintaining feature propagation in deep networks. Current approaches suffer from information loss in deep architectures and ina... read more
Effective motor skill learning depends critically on the structure of practice, not solely on practice volume. This study explores the differential learning outcomes when multiple procedural skills are acquired simultaneously through interleaved prac... read more
AIMS/HYPOTHESIS: Data-driven subtyping of type 2 diabetes has not been translated into clinical practice due to the lack of routine fasting glucose and insulin measurements. We aimed to identify type 2 diabetes subtypes in clinical settings using ele... read more
Oasis ecosystems, vital for water and food security in arid and semi-arid regions, are highly susceptible to degradation from climatic stress, fragile soils, and excessive groundwater withdrawal. This study assesses desertification dynamics in the Te... read more
BACKGROUND: When three-dimensional computer graphics (3DCG) images are used, artificial intelligence (AI) engines can semiautomatically estimate the pancreatic thickness, pancreatic stump shape (PSS), surface area of the resected pancreatic stump, an... read more
Journal of assisted reproduction and genetics
Feb 21, 2026
PURPOSE: This study addressed the practical challenge of missing data in assisted reproductive technology by evaluating the reliability of predicting oocyte yield when anti-Müllerian hormone (AMH) values are unavailable. We examined the ability of AI... read more
BMC medical informatics and decision making
Feb 21, 2026
BACKGROUND: Subacute low back pain (LBP) is a highly prevalent condition and a major contributor to disability and health care burden. Early identification of individuals at risk of poor functional recovery is essential to support decision-making in ... read more
BACKGROUND: While medications are essential for preventing and treating disease, they can also cause harm. Evidence synthesis has been widely adopted for evaluating harms, but traditional methods are resource-intensive and may constrain timely decisi... read more
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