Erschienen in:
23.06.2023 | Research Communication
Sugarbaker Versus Keyhole Repair for Parastomal Hernia: Results of an Artificial Intelligence Large Language Model Post Hoc Analysis
verfasst von:
Andrew M. Fleming, Alisa L. Phillips, Justin A. Drake, Andrew J. Murphy, Danny Yakoub, David Shibata, Elizabeth H. Wood
Erschienen in:
Journal of Gastrointestinal Surgery
|
Ausgabe 11/2023
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Excerpt
Artificial intelligence (AI) large language models (LLMs) can now generate convincing scientific research communications via natural language processing (NLP).
[1] Scientists are already using the AI LLM-powered chatbot, ChatGPT (OpenAI, San Francisco California) to assist in their organizational thinking and technical writing.
[2,3] The utility of this device in the realm of systematic review remains unknown. Our group recently published a systematic review and meta-analysis comparing Sugarbaker and keyhole repair techniques for parastomal hernia.
[4] The current post hoc analysis queried ChatGPT for additional studies that may have been missed during conventional PRISMA 2020-compliant systematic review methodology.
[5] …