Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis

Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis

Background: Nonsurgical treatment of uncomplicated appendicitis is a reasonable option in many cases despite the sparsity of robust, easy access, externally validated, and multimodally informed clinical decision support systems (CDSSs). Developed by OpenAI, the Generative Pre-trained Transformer 3.5...

Full description

Saved in:
Bibliographic Details
Main Authors: Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:AI
Subjects:
appendectomy
artificial intelligence
surgical decision-making
Online Access:https://www.mdpi.com/2673-2688/5/4/96
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items