Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is essential to preserve vision. Deep learning approaches have shown promise in automating glaucoma detection. However, significant class imbalance in medical datasets... read more
Artificial intelligence (AI)-based risk prediction is increasingly implemented in clinical care, but randomized evidence on communication and shared decision-making (SDM) outcomes is limited. In the single-center PRIMA-AI trial, 76 kidney transplant ... read more
This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid evolution, host switching and immune escape. With a propensity for mutation, coupled with recombinati... read more
A range of environmental, lifestyle and biological exposures across the lifespan - varying in timing, duration and intensity - interact with genetic factors to shape an individual's neurocognitive phenotype. By referring to the totality of exposures ... read more
This study investigated temporal changes in sleep quality among Chinese boarding high school students across four phases (2019:pre-pandemic baseline, 2020:outbreak containment, 2021:dynamic mitigation, and 2024:post-pandemic adaptation), aiming to id... read more
The rapid advancements in PET technology, coupled with the need for accurate and efficient imaging, necessitate the development of robust and generalizable methods for CT-free attenuation and scatter correction (ASC). Deep learning offers a promising... read more
In this study, a one-dimensional convolutional neural network (1D-CNN) was developed for classifying serum Raman spectra into three oral cancer-related classes: normal, precancerous, and cancerous. To address class imbalance, class-weighted learning ... read more
Cancer arises from oncogenic clones, yet the dynamic mechanisms driving their stepwise evolution toward malignancy remain incompletely understood. Here, we establish the Atlas of Ras-driven Tumors in Drosophila (ART-D), a systematic, cross-species pl... read more
Real-world clinical practice is inherently multimodal, relying on the synthesis of patient history with visual information such as medical imagery and clinical documents. Although large language models (LLMs) have shown promise in diagnostic dialogue... read more
BACKGROUND: Although an artificial intelligence-driven three-dimensional reconstruction system (AI-3D) facilitates preoperative planning, its impact on consistency between planned and actual surgical procedures and perioperative outcomes has not been... read more
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