Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

A new scoping review reveals how inconsistencies in labeling practices and high bias risk in delirium prediction studies ...

This is a potentially valuable modeling study on sequence generation in the hippocampus in a variety of behavioral contexts. While the scope of the model is ambitious, its presentation is incomplete ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don't ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Neurodegenerative diseases like Alzheimer's are a growing concern in the U.S., with over 7 million Americans living with ...