Assessing the Performance of ChatGPT in Medical Toxicology Through Simulated Case Scenarios

Assessing the Performance of ChatGPT in Medical Toxicology Through Simulated Case Scenarios

Objective: The insufficient number of medical toxicologists and poison information centers worldwide limits the accessibility of adequate medical recommendations for the management of poisoned patients. This study aimed to assess the effectiveness of Chat Generative Pretrained Transformers (GPTs) me...

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Bibliographic Details
Main Authors: İbrahim Altundağ, Semih Korkut, Ramazan Güven, Aynur Şahin
Format: Article
Language:English
Published: Türkiye Acil Tıp Vakfı 2024-12-01
Series:Global Emergency and Critical Care
Subjects:
artificial intelligence (ai)
chatgpt-4o
clinical decision support systems
generative pretrained transformer
poison control center
toxicology
Online Access:https://globemcc.com/articles/assessing-the-performance-of-chatgpt-in-medical-toxicology-through-simulated-case-scenarios/doi/globecc.galenos.2024.06025
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https://globemcc.com/articles/assessing-the-performance-of-chatgpt-in-medical-toxicology-through-simulated-case-scenarios/doi/globecc.galenos.2024.06025

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