Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
The rise of AI in decision-making should not be interpreted as a sign of deep confidence in the technology. Instead, it reflects a vacuum created by declining trust in traditional social structures.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human–machine interfaces for real-time health monitoring, clinical diagnosis, and robotic ...
Background: Machine learning (ML) models are increasingly used to predict clinical outcomes such as 30-day readmission following acute myocardial infarction (AMI). However, most models are trained on ...
1 Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan 2 School of Information Technology and Systems, University of ...
It is unclear who benefits the most from atherosclerotic cardiovascular disease (ASCVD) screening imaging. This study aimed to identify features associated with positive coronary artery calcium scores ...
1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...
Abstract: Cyberbullying remains a pressing issue in Thai social media, especially among teenagers. While many studies have explored deep learning approaches for sentiment analysis or toxicity ...
ABSTRACT: Pregnancy introduces a unique clinical dilemma in the management of psychiatric and neurological disorders, where ensuring maternal mental health must be carefully balanced against the ...
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