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 volunteersQualifiers
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
Case-only
Retrospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
3,000 Cases of Pancreatic Cancer Diagnosis and Treatment
Locations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options: