DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
As artificial intelligence continues to integrate into various aspects of our lives, the next frontier in AI technology is quickly ...
Abstract: Full-waveform inversion (FWI) requires an accurate representation of the source wavelet to enhance the reliability of model reconstruction. Traditional wavelet estimation methods depend on ...
Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
Overview: AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
Abstract: Medical imaging plays a significant role in diagnosing and treating several disorders, with correct image classification being essential for effective decision-making. Recent advancements in ...
For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...
Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...
This paper is in the following e-collection/theme issue: Viewpoints and Perspectives (624) Social Determinants of Health (90) Equity and Digital Divide (388) Big Data for Health Promotion and Health ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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