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The new frontier: utilizing ChatGPT to expand craniofacial research
Andi Zhang1, Ethan Dimock2, Rohun Gupta1
1Division of Plastic and Reconstructive Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Archives of Craniofacial Surgery
|July 8, 2024
Summary
ChatGPT shows moderate accuracy in generating novel systematic review ideas for craniofacial surgery research. Specific prompts yield more accurate results than general ones, suggesting AI
Area of Science:
- Plastic Surgery
- Craniofacial Surgery
- Artificial Intelligence in Medicine
Background:
- Evidence-based research is crucial in plastic surgery.
- Assessing AI tools like ChatGPT for research idea generation is important.
- This study focuses on ChatGPT's accuracy in craniofacial surgery systematic review ideation.
Purpose of the Study:
- To evaluate the accuracy of ChatGPT in generating novel systematic review ideas.
- To assess ChatGPT's performance in craniofacial surgery subcategories.
- To compare the accuracy of general versus specific systematic review ideas generated by ChatGPT.
Main Methods:
- ChatGPT generated 200 systematic review ideas across 10 craniofacial surgery subcategories.
- Ideas were categorized as 'general' or 'specific'.
- Literature review using PubMed, CINAHL, Embase, and Cochrane validated idea novelty and accuracy.
Main Results:
- ChatGPT generated 200 systematic review ideas with an overall accuracy of 57.5%.
- Accuracy for general ideas was 39%, while accuracy for specific ideas reached 76%.
- ChatGPT demonstrated higher precision for specific research questions.
Conclusions:
- ChatGPT can be a valuable tool for craniofacial surgeons in identifying research topics.
- Specific prompts enhance ChatGPT's accuracy and relevance for systematic review ideation.
- AI tools like ChatGPT have potential applications beyond research, including patient consultations and clinical decision-making.

