Nature

A large language model for delirium prediction in the intensive care unit using structured electronic health records

Delirium is an acute syndrome characterized by fluctuating attention, cognitive impairment, and severe disorganization of behavior, which has been shown to affect up to 31% of patients in the ...
Nature

Development of a machine learning model using structured and unstructured features for predicting surgery among patients with carpal tunnel syndrome: development and validation

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy and often requires surgery when symptoms persist. However, identifying patients requiring surgery remains challenging. This study ...
Forbes

Why Structured Data May Be AI’s Next Enterprise Frontier

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Over the past few years, the AI market has been dominated by models built for unstructured ...
Medscape

Structured End-of-Life Care Model May Enhance Symptom Relief in General Practice

A structured end-of-life care model, Acute Basic Palliation Concept (ABPC), improved symptom relief in patients in Danish general practice, with 51% of cases using the model showing better ratings for ...
EurekAlert!

Offline model-based reinforcement learning with causal structured world models

The architecture of FOCUS. Given offline data, FOCUS learns a $p$ value matrix by KCI test and then gets the causal structure by choosing a $p$ threshold. After ...