RECRUITING

Treatment Recommendations for Gastrointestinal Cancers Via Large Language Models

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Conditions

Gastrointestinal Neoplasm MalignantArtificial IntelligenceLarge Language ModelGastrointestinal CancersTreatment Recommendation

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Study Overview

This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.

Description

This study will evaluate the utility of ChatGPT in recommending treatment plans for patients with gastrointestinal cancers, using both retrospective and prospective data.

Official Title

Application of Large Language Models in the Recommendation of Treatment Plans for Gastrointestinal Cancers

Quick Facts

Study Start:2023-08-29
Study Completion:2028-12-31
Study Type:Not specified
Phase:Not Applicable
Enrollment:Not specified
Status:RECRUITING

Study ID

NCT06002425

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Ages Eligible for Study:18 Years
Sexes Eligible for Study:ALL
Accepts Healthy Volunteers:No
Standard Ages:ADULT, OLDER_ADULT
Inclusion CriteriaExclusion Criteria
  1. * Age ≥18 years, both male and female.
  2. * Pathologically confirmed diagnosis of gastrointestinal cancer (gastric cancer or colorectal Cancer).
  3. * Detailed medical records available prior to treatment (including chief complaint, history of present illness, radiological examinations, pathological examinations, laboratory tests, etc.).
  4. * Participants will receive complete treatment in the participating hospitals.
  1. * Participants with cancers other than gastrointestinal cancers.
  2. * Participants who receive treatment in multiple hospitals.

Contacts and Locations

Study Contact

Di Dong, PhD
CONTACT
+86 13811833760
di.dong@ia.ac.cn

Principal Investigator

Di Dong, PhD
PRINCIPAL_INVESTIGATOR
Institute of Automation, Chinese Academy of Sciences

Study Locations (Sites)

City of Hope
Duarte, California, 91010
United States

Collaborators and Investigators

Sponsor: Chinese Academy of Sciences

  • Di Dong, PhD, PRINCIPAL_INVESTIGATOR, Institute of Automation, Chinese Academy of Sciences

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

Study Start Date2023-08-29
Study Completion Date2028-12-31

Study Record Updates

Study Start Date2023-08-29
Study Completion Date2028-12-31

Terms related to this study

Keywords Provided by Researchers

  • Artificial Intelligence
  • Large Language Model
  • Gastrointestinal Cancers
  • Treatment Recommendation

Additional Relevant MeSH Terms

  • Gastrointestinal Neoplasm Malignant