ChatGPT in Clinical Toxicology
Mary Sabry Abdel-Messih1, Maged N Kamel Boulos2
1Clinical Toxicology Centre, Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
JMIR Medical Education
|March 3, 2023
Summary
ChatGPT, a large language model, successfully managed a clinical toxicology case of organophosphate poisoning. This demonstrates its potential utility in medical scenarios, even complex ones like poisoning.
Area of Science:
- Artificial Intelligence in Medicine
- Clinical Toxicology
- Medical Education
Background:
- Large language models (LLMs) like ChatGPT are increasingly evaluated for their capabilities in various professional domains.
- Previous research has indicated ChatGPT's proficiency in standardized medical examinations, such as the United States Medical Licensing Examination (USMLE).
Purpose of the Study:
- To assess the performance of ChatGPT (February 13, 2023 release) in managing a specific clinical toxicology case.
- To evaluate the accuracy and relevance of ChatGPT's responses to queries concerning acute organophosphate poisoning.
Main Methods:
- A typical clinical toxicology case vignette of acute organophosphate poisoning was presented to ChatGPT.
- A series of queries related to the case were posed to the AI model.
Main Results:
- ChatGPT provided appropriate responses to all queries regarding the organophosphate poisoning case.
- The AI demonstrated a competent understanding of the clinical toxicology principles involved.
Conclusions:
- ChatGPT shows promise as a tool for assisting with clinical toxicology case management.
- Further research is warranted to explore the broader applications of LLMs in medical practice and education.
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