Chronic disease comorbidity is a big deal. As people live longer, doctors and researchers are paying more attention to it. They need to know a lot about patients to study these conditions. But getting that info is tough. It takes a lot of time and effort. Plus, it's easy to make mistakes. The main issue is getting the right details about patients quickly and accurat...

Cancer research is always looking for new tools. One promising area is using AI to pull useful information from medical records. These records are often written in a way that's hard to search through. That's where large language models come in. They can understand and process human language, making them great for this job. The main challenge with these models is tha...

Gathering real-world clinical data for research can be a slow and error-prone process. Researchers wondered if artificial intelligence (AI), specifically natural language processing (NLP), could help speed things up for advanced lung cancer (aLC) patients. They tested this idea by comparing NLP-extracted data with what's already known in the literature. The goal was ...