Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

ZeJun Gao

Biographic Data

ID10037987
NAMEZeJun Gao
GIVEN NAMESZeJun
FAMILY NAMEGao
SIGNATUREGAO Z
AFFILIATIONSWenzhou Medical University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Dietary guidance for pregnant women using DeepSeek-R1 and ChatGPT-4.0

    Open Access•ZeJun Gao, Jie Li et al.•ARTICLE•Frontiers in Public Health•2026

    Background Advancements in artificial intelligence (AI) and natural language processing have enabled the widespread application of large language models. However, the ability of AI models to provide dietary guidance for pregnant women remains unclear. This study aims to explore the capabilities of DeepSeek-R1 and ChatGPT-4.0 in generating dietary plans for pregnant women with different activity levels. Methods Personalized diet plans were generat…

No prominent works on this page.

  • Dietary guidance for pregnant women using DeepSeek-R1 and ChatGPT-4.0

    Open Access•ZeJun Gao, Jie Li et al.•ARTICLE•Frontiers in Public Health•2026

    Background Advancements in artificial intelligence (AI) and natural language processing have enabled the widespread application of large language models. However, the ability of AI models to provide dietary guidance for pregnant women remains unclear. This study aims to explore the capabilities of DeepSeek-R1 and ChatGPT-4.0 in generating dietary plans for pregnant women with different activity levels. Methods Personalized diet plans were generat…

Gestational Diabetes Research and Management (1 work) · Maternal health (1 work) · MEDLINE (1 work) · Nutrition, Genetics, and Disease (1 work) · Nutritional epidemiology (1 work) · Nutritional Studies and Diet (1 work) · Population (1 work) · Pregnancy (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae