The authors aimed to extract knowledge from existing literature on deception detection and streamline methods to detect lies via machine learning, and compare them to conventional non-machine ...

Machine learning (ML) techniques can be used to semiautomate the literature review process and improve efficiency. In this study, we detail our approach and provide practical benchmarks for the ...

In the concentric circles of artificial intelligence, machine learning (ML) is a subset that learns from data and improves over time. Within ML, deep learning takes this further by extracting ...

The rise of generative AI has made one thing clear: text no longer needs to remain static. With its latest release, Speechify ...

Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a ...

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction. This approach has the ...

Machine learning (ML) has the potential to transform oncology and, more broadly, medicine. 1 The introduction of ML in health care has been enabled by the digitization of patient data, including the ...