Applying Artificial Neural Networks to Develop a Decision Support Tool for Tis–4N0M0 Non–Small-Cell Lung Cancer Treated With Stereotactic Body Radiotherapy We randomly selected 1,225 outpatient ...

The CMO Exchange includes exploring how health systems and hospitals are using AI in clinical care as well as pain points for AI tool adoption.

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Suki, the leader in artificial intelligence (AI) technology for healthcare, today announced plans to partner with AI-first work platform and leading telehealth ...

In a recent article published in the journal Nature, researchers used unstructured clinical notes from the electronic health record (EHRs) to train NYUTron, a large language model for medical language ...

The data ecosystem OMNY Health has incorporated 4 billion unstructured clinical notes into its network—allowing health care, life sciences and research organizations to glean insights from previously ...

This latest artificial intelligence (AI)-powered application, known as Dragon Ambient eXperience (DAX) Express, will be able to create an automatic clinical note based on recordings of patient visits, ...

Whole blood sample stability as an analytical parameter should be assessed when developing pharmacodynamic flow cytometry assays. Sample stability will determine the robustness of detecting not only ...

A doctor's visit often ends with you leaving with a pathology request form in hand. The request form soon has you filling a sample pot, having blood drawn, or perhaps even a tissue biopsy taken. After ...

Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an ...