As artificial intelligence continues to integrate into various aspects of our lives, the next frontier in AI technology is quickly ...
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 ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Recent years have witnessed a transformative shift in the way patient-reported outcomes are captured. The increasing adoption of digital health technologies offers exciting possibilities for more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback