Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...
Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
imagenet └── train/ ├── n01440764 ├── n01440764_10026.JPEG ├── n01440764_10027.JPEG ├── ... ├── n01443537 ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
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