Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...

Abstract: Remote sensing images exhibit multi-semantic char acteristics with abundant geographical and contextual information. Although multi-label learning methods demonstrate remark able advantages ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

Abstract: In this study, we investigate multilingual and multiclass sentiment classification by analyzing datasets in Turkish, English, and Italian. The proposed approach consists of three main stages ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and professional networks through structured remote roles that look and feel like work, ...

Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.