IEEE

Full-Waveform Inversion With Velocity Model Low-Rank Implicit Neural Representation

Abstract: Full-waveform inversion (FWI) is pivotal for exploring subsurface structures and physical parameters. However, classical FWI methods often experience challenges like cycle skipping and ...
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
Frontiers

Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...
Analytics Insight

What is Artificial Intelligence?

Artificial intelligence (AI) refers to technology that enables computers and machines to mimic human abilities such as learning, understanding, problem-solving, decision-making, creativity, and ...
The Lancet

Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study

fSurgical Outcomes and Quality Improvement Center, Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA gDepartment of Surgery, Northwestern Memorial Hospital, ...