Multi-agent LLMs for Decision Support in Cervical Cancer During Pregnancy

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
AgeNot listed
SponsorObstetrics & Gynecology Hospital of Fudan University

About this trial

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.

Eligibility criteria

Qualifiers

Pathologically confirmed diagnosis of cervical cancer.

Confirmed intrauterine pregnancy status via ultrasound.

Patients receiving initial treatment.

Agreement to participate in the study with signed informed consent.

Disqualifiers

Previous treatment received for cervical cancer during pregnancy.

Pathological pregnancy states (e.g., ectopic pregnancy).

Inability or unwillingness to provide signed informed consent.

Trial design

Treatments tested in this trial

  • multi-disciplinary agents group
  • real MDT group
  • junor doctor group
  • junor doctor group with aid of MDT agents

Treatment groups

150 Participants
are divided into 2 treatment groups

Locations

This trial has no locations