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

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorShanghai General Hospital, Shanghai Jiao Tong University School of Medicine

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Real inpatient cases of pancreatic cancer diagnosis and treatment;

Prioritize the inclusion of cases with MDT discussion records, difficult and complex cases, and fatal cases;

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.); -

Disqualifiers

Cases that only underwent a brief transition in emergency/outpatient departments and did not form a closed loop of diagnosis and treatment;

Cases with incomplete diagnosis and treatment information and missing key indicators.

Trial population

Real pancreatic cancer diagnosis and treatment cases treated in the hospital

Trial design

Design model

Case-only

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

1

3,000 Cases of Pancreatic Cancer Diagnosis and Treatment

Time frame
May 2028

Secondary outcomes

Other outcomes

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

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