In today’s rapidly evolving digital landscape, cybersecurity stands at the forefront of technological challenges. As the world becomes increasingly interconnected, ...
A fully automated deep learning workflow for echocardiography in pulmonary arterial hypertension (PAH) is accurate and feasible.
Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...
Pep Guardiola has transformed the Manchester City team into a footballing machine, demonstrating a consistent pattern of ...
Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
Abstract: The success of deep learning (DL) is often achieved at the expense of large model sizes and high computational complexity during both training and post-training inferences, making it ...
10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback