Data is from comprehensive review of hospital charges and all-payer claims over five years - - Preventable complications such as amputation and ...
Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...
On Jan. 8 at 3 p.m. ET, personal trainer Paul Landini and The Globe’s healthy living reporter Graham Isador will be answering ...
Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...
Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Modern LLMs, like OpenAI’s o1 or DeepSeek’s R1, improve their reasoning by generating longer chains of thought. However, this ...
It could also depend on whether his brother had a will. If he did, he might have left the pension inheritance to Dave. But in ...
Abstract: A data-secure and cost-efficient Personalized Travel Recommendation (PTR) is necessary to develop urban intelligence in transportation. Although prevalent machine learning-based methods have ...
Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...
Abstract: Empirical studies suggest that machine learning models trained with empirical risk minimization (ERM) often rely on attributes that may be spuriously correlated with the class labels. Such ...
This is the source code for our CVPR (2022) paper: Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment based on Pytorch. This version is a demo of how to use GCL loss. The version ...