Study on the Construction and Application of a Large Model Corpus for Pancreatic Cancer Based on Real Clinical Cases

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07713823

Enrollment

3000

Registered

2026-07-20

Start date

2026-08-01

Completion date

2028-05-31

Last updated

2026-07-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pancreatic Cancer, Pancreatic Cancer Metastatic, Pancreatic Cancer Non-resectable, Pancreatic Cancer Resectable

Brief summary

Combining retrospective observational research with artificial intelligence data engineering. Collecting historical electronic medical record data, and through data governance and annotation by artificial medical experts, constructing a structured knowledge base.

Interventions

None listed

Study design

Observational model

CASE_ONLY

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

1. Real inpatient cases of pancreatic cancer diagnosis and treatment; 2. Prioritize the inclusion of cases with MDT discussion records, difficult and complex cases, and fatal cases; 3. Possess complete electronic medical information (including but not limited to: outpatient medical records, inpatient medical records including admission records, progress notes, surgery/procedure records, nursing records, examination and test reports, doctor's orders, discharge/death records, etc.); -

Exclusion criteria

1. Cases that only underwent a brief transition in emergency/outpatient departments and did not form a closed loop of diagnosis and treatment; 2. Cases with incomplete diagnosis and treatment information and missing key indicators.

Design outcomes

Primary

Measure	Time frame
3,000 Cases of Pancreatic Cancer Diagnosis and Treatment	May 2028

Contacts

CONTACTLong Jiang, MD

jiang.long@shgh.cn18017317460

Outcome results