Over the past decade, the burden of mental disorders has grown while services remain capacity-constrained, pushing generative artificial intelligence toward psychiatric practice. This narrative review outlines how large language and multimodal models... read more
Supervised deep learning-based image analysis models using whole slide images (WSIs) have been reported to be effective for detecting simple histopathological findings in laboratory animals. However, there are no models that simultaneously detect mul... read more
Accurate ultra-short-term solar radiation forecasting is critical for renewable energy integration and power grid stability, yet operational systems exhibit systematic biases and accumulating errors during transitional weather conditions. This resear... read more
BACKGROUND: Sentinel lymph node biopsy (SLNB) is the standard for staging melanoma. Traditional dual-mapping with technetium-99m radioisotope (RI) and isosulfan blue (IB) has logistical and clinical limitations. Indocyanine green (ICG) fluorescence h... read more
BACKGROUND: Identifying surgical oncology trials within the National Clinical Trial (NCT) database is challenging owing to the absence of medical specialty labels. We developed a machine learning classifier to systematically identify and analyze surg... read more
Angewandte Chemie (International ed. in English)
Apr 5, 2026
The lack of clear guidance for designing novel aqueous electrolytes with wide electrochemical stability window (ESW) and strong resistance to hydrogen evolution reactions (HER) has hindered the development of safe and energetic aqueous batteries (ABs... read more
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