We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
How large language models including generative pre-trained transformer (GPT) 3 and 4 will impact medicine and surgery.
- Authors
Atallah, S. B.; Banda, N. R.; Banda, A.; Roeck, N. A.
- Abstract
Recently, a promising autoregressive large language model (LLM), I G i enerative I P i re-trained I T i ransformer (GPT)-3 trained with 175 billion parameters via cloud computing [[1]] has been made available to the public online (released by OpenAI on November 30, 2022; https://chat.openai.com/). Theoretically, healthcare IT can integrate LLMs into the electronic medical record (EMR) so as to use the generative AI capability to write discharge summaries [[23]], assist with data entry, and optimize patient check-in for visits (e.g., by assimilating necessary patient data prior to consultation and treatment). Understanding large language models (LLMs) LLMs are a specific application of Natural Language Processing (NLP), which is a subfield of AI that focuses on the interaction between computers and human language.
- Subjects
LANGUAGE models; GENERATIVE pre-trained transformers; ARTIFICIAL intelligence; NATURAL language processing; AUTOMATED external defibrillation; COMPUTER vision; CLINICAL prediction rules; NURSING informatics; CHATBOTS; INFORMATION needs
- Publication
Techniques in Coloproctology, 2023, Vol 27, Issue 8, p609
- ISSN
1123-6337
- Publication type
Article
- DOI
10.1007/s10151-023-02837-8