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New AI models detect dementia with high accuracy using EEG signals

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Devdiscourse

Gender cues can shift AI fairness decisions, raising concerns for real-world use

Gender framing effects are especially relevant. When an AI assistant is assigned a persona, a name or a demographic identity, ...
ITWire

Displaying items by tag: Quantum Machine Learning

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
Frontiers

Advancing Cardiovascular Risk Stratification with Machine Learning

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...
eLife

Sensitivity of the human temporal voice areas to nonhuman primate vocalizations

This valuable study shows that regions of the human auditory cortex that respond strongly to voices are also sensitive to vocalizations from closely related primate species. The study is ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA: a multicentre study

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance the accuracy of the prediction of progression to death in DCD donors and ...