Abstract: The application of machine learning in medicine and healthcare has led to the creation of numerous diagnostic and prognostic models. However, despite their success, current approaches ...
One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used to aid ...
Abstract: Early detection of myocardial infarction (MI) is critical due to rapid heart muscle deterioration. Current diagnosis relies on electrocardiogram (ECG) and troponin tests, but troponin tests ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Automatic recording ensures accurate results, as humans are prone to error when dealing with complex figures. The retailer is ...
1 Department of Software Science, Tallinn University of Technology (TalTech), Tallinn, Estonia 2 LEARN! Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands Project-based learning ...
Conclusions: To achieve the opportunities of automated lung auscultation, there is a need to address weaknesses and threats with large-scale coordinated data collection in globally representative ...
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