Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

AI is rapidly becoming clinical infrastructure. But accountability frameworks have not scaled at the same pace. When AI contributes to harm, many organizations still end up improvising answers to the ...

As electronics have gotten smaller and more flexible, they’ve been incorporated into more uses in the field of healthcare.

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...

Background To address escalating opioid-related harm, an Australian evidence-based guideline for deprescribing opioids was recently published. However, the barriers and enablers to its implementation ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Counties with higher unadjusted performance scores tended to have populations that were more educated ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Right now, YouTube marketing has become even more important with all the changes happening in the current digital landscape. What is also important is keeping up with trends and strategies to ensure ...

Abstract: As a form of artificial intelligence (AI) technology based on interactive learning, deep reinforcement learning (DRL) has been widely applied across various fields and has achieved ...