While the overall effectiveness of collaborative care has been well established, this study aimed to determine which specific ...

Speech recognition technology enhances documentation efficiency, with a 0.25% increase in lines documented per hour for each ...

For AI to truly improve and standardize healthcare delivery, we must confront a fundamental issue—the limited and often ...

Deep-learning-based brain magnetic resonance imaging (MRI) reconstruction methods have the potential to accelerate the MRI acquisition process. Nevertheless, the scientific community lacks appropriate ...

There's no question that AI systems have accomplished some impressive feats, mastering games, writing text, and generating ...

Fields as diverse as human genetics and sociology are increasingly using polygenic scores based on genome-wide association studies (GWAS) for phenotypic prediction. However, recent work has shown that ...

Abstract: Accurate state-of-charge (SoC) estimation is crucial for enhancing the performance, longevity, safety, and reliability of lithium-ion batteries (LiBs) in electric vehicles (EVs). This study ...

MOE Key Laboratory of Bioinformatics, State Key Laboratory of Molecular Oncology, Beijing Frontier Research Center for Biological Structure, School of Pharmaceutical Sciences, Tsinghua University, ...

Summary: A new study shows that brain activity in small groups can predict large-scale decision-making. Using fMRI, researchers found that activity in the Nucleus Accumbens (NAcc) during initial ...

Abstract: Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) attracted ...

Individual differences in reward salience may relate to the difficulty in regulating the effects of multiple substances (e.g., nicotine and food). Increased brain activation in reward and ...