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ChatGPT outscored human candidates in a virtual objective structured clinical examination in obstetrics and gynecology
119
Zitationen
33
Autoren
2023
Jahr
Abstract
ChatGPT generated factually accurate and contextually relevant structured discussion answers to complex and evolving clinical questions based on unfamiliar settings within a very short period. ChatGPT outperformed human candidates in several knowledge areas. Not all examiners were able to discern between human and ChatGPT responses. Our data highlight the emergent ability of natural language processing models to demonstrate fluid reasoning in unfamiliar environments and successfully compete with human candidates that have undergone extensive specialist training.
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Autoren
- Sarah W L Li
- Matthew W. Kemp
- Susan Logan
- Pooja Dimri
- Navkaran Singh
- Citra Nurfarah Zaini Mattar
- Pradip Dashraath
- Harshaana Ramlal
- Aniza P. Mahyuddin
- Suren Kanayan
- Sean W.D. Carter
- Serene P.T. Thain
- Erin L. Fee
- Sebastián E. Illanes
- Mahesh Choolani
- Mary Rauff
- Arijit Biswas
- Jeffrey Low
- Joseph Ng
- Arundhati T. Gosavi
- Zhongwei Huang
- Preethi Rajendran
- Kwok Weng Roy Ng
- Jeslyn Wong
- Grace Ming Fen Chan
- Kelvin Zhi Xing Lee
- Jeannie J.Y. Yap
- Nurulhuda Ahmad
- Shwetha Shanmugam
- Rajeswari Kathirvel
- Manisha Mathur
- Whui Whui Lim
- Min Yu Lim