Across the country, hospitals and health systems are exploring innovative ways to improve quality of care and patient ...

High physician adoption, less after-hours charting and increased clinical capacity helped the health system scale AI-powered ...

Artificial intelligence can help predict a patient's risk for conditions such as sepsis, heart disease and cancer. But many ...

Many health systems have added operational technologies over the past several years. Yet for some leaders, it’s not clear these tools have made the work simpler — or that they’ve resolved the ...

The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...

Despite their long history, it can still be difficult to embed clinical decision support into existing health information systems, particularly if they utilise machine learning and artificial ...

Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE tool (www.netpyne.org) provides both ...