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Comparing AI treatment suggestions with team decisions for rectal cancer

Compares an AI tool's treatment suggestions with team decisions in adults with rectal cancer.

Plain-language title generated from the registry record
Registry title: Concordance Between Large Language Model and Multidisciplinary Team Recommendations in Rectal Cancer

Key facts

Where
Jinan, ChinaSee the site

AI summary: who the study is looking for

From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.

The trial is looking for adults with rectal cancer confirmed by tissue testing. They must be scheduled for a team discussion about their treatment.

Age
18 years or older
Sex
All sexes can join
Disease stage
Rectal adenocarcinoma confirmed by pathology, with a treatment decision question to be discussed.

Main reasons for not taking part

  • Too little clinical information to prepare a standard case summary
  • Tumor that did not start in the rectum
  • Routine follow-up with no treatment decision question
  • No structured pelvic MRI report meeting the center's requirements
  • Treatment decision already made before the team discussion

Read by machine on 9 November 2026.

Where in China

  • Department of Radiation Oncology, Shandong Cancer Hospital and InstituteJinan, ChinaTaking people

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?

Contact the study team: see the registry record → Contacts and Locations

Print a page for my doctor

Trial details

Who runs it
Shandong Cancer Hospital and Institute
Trial code
NCT07595107
Record updated
15 October 2026
Original description
This prospective single-center observational study will evaluate the concordance between recommendations generated by a locally deployed large language model and standardized multidisciplinary team recommendations for patients with rectal cancer.Read full original descriptionShow less

A Prospective Single-Center Observational Study Evaluating Concordance Between Large Language Model-Generated Recommendations and Multidisciplinary Team Recommendations in Rectal Cancer

This prospective single-center observational study will evaluate the concordance between recommendations generated by a locally deployed large language model and standardized multidisciplinary team recommendations for patients with rectal cancer.

Consecutive adult patients with pathologically confirmed rectal adenocarcinoma who are scheduled for routine rectal cancer multidisciplinary team discussion will be enrolled. For each case, investigators will prepare a standardized de-identified clinical summary before the multidisciplinary team meeting. The same summary will be used for large language model generation and routine multidisciplinary team discussion.

The large language model recommendation will not be disclosed to the clinical team and will not influence actual patient management. Concordance between the large language model recommendation and the multidisciplinary team reference recommendation will be assessed using predefined structured rules and blinded expert review.

Inclusion: Age 18 years or older; Pathologically confirmed rectal adenocarcinoma; Scheduled for routine rectal cancer multidisciplinary team discussion at the study center; Availability of complete or substantially complete standardized decision-making information before multidisciplinary team discussion, including clinical, pathological, and key imaging information; Availability of a structured pelvic magnetic resonance imaging report meeting the requirements of the institutional rectal cancer multidisciplinary team, including at least tumor location, clinical T stage, clinical N stage, circumferential resection margin or mesorectal fascia status, extramural vascular invasion status, and lateral lymph node status; Presence of a defined clinical treatment decision question; Clinical data can be sufficiently de-identified for research use.

Exclusion: Absence of a structured pelvic magnetic resonance imaging report meeting the requirements of the institutional rectal cancer multidisciplinary team, or missing pelvic magnetic resonance imaging elements that preclude key rectal cancer decision-making; Severely incomplete clinical information preventing preparation of a standardized case summary; Non-rectal primary tumor; Routine follow-up cases without a defined treatment decision question; Cases containing sensitive information considered unsuitable for large language model input by the study team; Cases in which a definitive treatment decision has already been made before the multidisciplinary team discussion and the meeting serves only as a formal review.

ClinicalTrials.gov NCT07595107