A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.
This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...
Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...
The development of artificial intelligence-generated content (AIGC) technology brings new opportunities for the teaching ...
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The megamanager era: AI is doubling bosses’ workloads—and the costs are just beginning to show
The average American manager now oversees 12 direct reports, and the data suggest AI is both the cause and justification for this quiet but seismic shift in how the U.S. workplace is organized. It is ...
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