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Multi-agent LLMs for Decision Support in Cervical Cancer During Pregnancy
Sponsor: Obstetrics & Gynecology Hospital of Fudan University
Summary
The aim of this study is to develop an AI-assisted decision-making system based on multi-agent large language models and to evaluate its effectiveness and accuracy in the diagnosis and treatment of cervical cancer during pregnancy.
Official title: Multi-agent Large Language Models for Multidisciplinary Decision Support in Cervical Cancer During Pregnancy
Key Details
Gender
FEMALE
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
150
Start Date
2026-01-01
Completion Date
2026-10-30
Last Updated
2026-01-06
Healthy Volunteers
No
Conditions
Interventions
multi-disciplinary agents group
generate diagnosis and treatment opinions for each case from multi-disciplinary agents
real MDT group
generate diagnosis and treatment opinions for each case from a real MDT team inclduing senior physicians from relevant departments, including gynecologic oncology, pediatrics, obstetrics, medical oncology and radiation oncology.
junor doctor group
generate diagnosis and treatment opinions for each case from junior doctor who are residents from relevant departments, including gynecologic oncology, pediatrics, obstetrics, medical oncology and radiation oncology.
junor doctor group with aid of MDT agents
generate diagnosis and treatment opinions for each case from junior doctor who are residents from relevant departments, including gynecologic oncology, pediatrics, obstetrics, medical oncology and radiation oncology after referring to the results from MDT agent .