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 ...

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 ...

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 ...

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 ...

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 ...

Comprehend Medical uses machine learning to model topics, detect language, conduct sentiment analysis and extract phrases from unstructured medical texts. Written by Natalie Gagliordi, Contributor ...

"Paradoxically, ChatGPT outperformed PubMedGPT (accuracy 50.8%, unpublished data), a counterpart [language learning model] with similar neural structure, but trained exclusively on biomedical ...