Artificial Intelligence Medical Compendium

BACKGROUND: Epilepsy poses ongoing physical and mental threats and causes substantial economic burdens. Better seizure forecasting enables faster medical responses, improving patients' quality of life and lowering healthcare costs. Research mainly fo... read more 

Depression, a complex and heterogeneous mental disorder, poses significant challenges for timely and effective detection, highlighting the need for advanced methodologies. Current technologies often fail to fully leverage deep learning's potential, p... read more 

BACKGROUND: Repeated low-level red-light (RLRL) therapy has emerged as a promising non-invasive intervention for myopia control. However, the predictive factors underlying its efficacy remain insufficiently explored. METHODS: This multicenter cohort ... read more 

BACKGROUND: Predicting chemosensitivity before treatment could help tailor neoadjuvant chemotherapy (NAC) in early breast cancer (eBC). Pathological complete response (pCR) is associated with better long term survival, but yet no robust baseline pred... read more 

Fermentation is driven by dynamic interactions between substrates and microbial communities. However, the complexity of natural consortia limits their predictive control. To address this problem, we developed a gnotobiotic kimchi model via inoculatio... read more 

The paper presents novel Universum-enhanced classifiers: the Universum Generalized Eigenvalue Proximal Support Vector Machine (U-GEPSVM) and the Improved U-GEPSVM (IU-GEPSVM) for EEG signal classification. Using the computational efficiency of genera... read more 

BACKGROUND: Hypoperfusion-induced cerebral infarction remains a significant therapeutic challenge due to limited treatment options. Yiqi Fumai (YQFM), a traditional Chinese medicine formula, has shown promise in treating cerebrovascular disorders, bu... read more 

BACKGROUND: Nurses are at the forefront of providing palliative care, playing a critical role in ensuring high-quality support for patients and their families. Emerging digital and immersive technologies offer new opportunities to simulate complex pa... read more 

Despite the growing demand for nutritious dietary options, grain-based products remain underused in the marketplace, primarily owing to their coarse texture and unpalatable taste. This paper investigates the flavor perception of mixed grains during o... read more 

BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in nursing care, including wound management. Differentiating pressure injuries from incontinence-associated dermatitis is clinically challenging, often leading to misc... read more