A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Scientists at Université de Montréal and its affiliated Centre de recherche Azrieli du CHU Sainte-Justine have made a major ...
Researchers have found growing evidence that contemporary mammogram imaging combined with AI analysis are able to predict a woman's risk for major cardiovascular events, such as heart attacks and ...
Vaccination is one of the greatest achievements in immunology and medicine, nearly eradicating many infectious diseases that ...
A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
Abstract: The World Health Organization reports that cardiovascular diseases constitute 32% of global deaths while staying as one of the top worldwide mortality factors. Heart disease detection during ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
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