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Deploying and evaluating a machine learning intervention on clinical care and patient outcomes is a key step in moving clinical deterioration models from b

Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration model

Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration models from byte to bedside, according to a June 13 editorial in Critical Care Medicine that comments on a Mount Sinai study published in the same issue.

According to the speaker, the complexity of immune-related adverse events resulting from immune checkpoint inhibitors requires a lot of collaborative discussion between patients and providers.

In the days since UK radio DJ Steve Wright’s sudden death, conversation about men’s health has flourished on the airwaves. We do not know for sure how Wright...