UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of ...

Study: Health system-scale language models are all-purpose prediction engines. Image Credit: Elnur / Shutterstock. Background. Initially, all the information needed to make medical decisions is ...

Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic ...

What is a Large Language Model? ... After pre-training on a large corpus of text, the model can be fine-tuned for specific ... a GPT-3 model could be fine-tuned on medical data to create a domain ...

Imagine getting an MRI of your knees and being told you have "mild intrasubstance degeneration of the posterior horn of the ...

Improving efficiency, reliability of AI medical summarization tools Date: February 22, 2024 Source: Penn State Summary: Medical summarization, a process that uses artificial intelligence (AI) to ...

"Paradoxically, ChatGPT outperformed PubMedGPT (accuracy 50.8%, unpublished data), a counterpart [language learning model] with similar neural structure, but trained exclusively on biomedical ...

Learning how a “large language model” operates. By Kevin Roose In the second of our five-part series, I’m going to explain how the technology actually works. The artificial intelligences ...