Comparative efficacy of ChatGPT 3.5, ChatGPT 4, and other large language models in gynecology and infertility research

Pallav Sengupta; Sulagna Dutta; Srikumar Chakravarthi; Ravindran Jegasothy; Ravichandran Jeganathan; Anuradha Pichumani

doi:10.1016/j.gocm.2023.09.002

Comparative efficacy of ChatGPT 3.5, ChatGPT 4, and other large language models in gynecology and infertility research

Pallav Sengupta
, Sulagna Dutta
, Srikumar Chakravarthi
, Ravindran Jegasothy
, Ravichandran Jeganathan
, Anuradha Pichumani

Gulf Medical University
Bharath Institute of Higher Education and Research
SEGi University
MAHSA University
Hospital Sultanah Aminah
Sree Renga Hospital

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Original language	English
Pages (from-to)	203-206
Number of pages	4
Journal	Gynecology and Obstetrics Clinical Medicine
Volume	3
Issue number	4
DOIs	https://doi.org/10.1016/j.gocm.2023.09.002
State	Published - Dec 2023
Externally published	Yes

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10.1016/j.gocm.2023.09.002

Cite this

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title = "Comparative efficacy of ChatGPT 3.5, ChatGPT 4, and other large language models in gynecology and infertility research",

author = "Pallav Sengupta and Sulagna Dutta and Srikumar Chakravarthi and Ravindran Jegasothy and Ravichandran Jeganathan and Anuradha Pichumani",

year = "2023",

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doi = "10.1016/j.gocm.2023.09.002",

language = "English",

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T1 - Comparative efficacy of ChatGPT 3.5, ChatGPT 4, and other large language models in gynecology and infertility research

AU - Sengupta, Pallav

AU - Dutta, Sulagna

AU - Chakravarthi, Srikumar

AU - Jegasothy, Ravindran

AU - Jeganathan, Ravichandran

AU - Pichumani, Anuradha

PY - 2023/12

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UR - https://www.scopus.com/pages/publications/85171347505

U2 - 10.1016/j.gocm.2023.09.002

DO - 10.1016/j.gocm.2023.09.002

M3 - Article

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SN - 2097-0587

VL - 3

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JO - Gynecology and Obstetrics Clinical Medicine

JF - Gynecology and Obstetrics Clinical Medicine

IS - 4

ER -

Comparative efficacy of ChatGPT 3.5, ChatGPT 4, and other large language models in gynecology and infertility research

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