Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Introduction Atrial fibrosis identified on cardiac magnetic resonance (CMR) imaging has been proposed as a preprocedural imaging biomarker for patient selection for rhythm control interventions in ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using comprehensive health examination data from nearly 37 701 individuals.Methods ...

In downtown Los Angeles, a driverless taxi gliding into the middle of a tense police standoff turned a routine ride into a ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October.