Why add AI-assisted pancreatic CT review to your program?
Pancreatic cancer may cause few or nonspecific symptoms early. Screening programs should use clear clinical protocols, eligibility criteria, and referral pathways.
Clear program criteria
A screening program should use current local epidemiology, clear eligibility criteria, and defined referral pathways.
Fits existing services
Add an AI-assisted pancreatic CT review option to eligible programs while keeping radiologist review and existing referral processes.
Documented evidence
Taiwan TFDA medical device license No. 007946, FDA Breakthrough Device Designation, and published study results including a nationwide, multicenter AUC of 0.95.
An illustrative four-week path from contract to go-live
A dedicated project manager throughout; radiologist and technologist training included.
Week 1 · Assessment
Review equipment (CT model, PACS version) and workflow; define report format and alert rules.
Week 2 · Integration
AI server setup and PACS/RIS interfacing; DICOM routing is configured within the institution’s workflow.
Week 3 · Validation & training
Validation on institutional data plus training for radiologists and technologists (online course included).
Week 4 · Go-live
Go-live, pilot run, performance dashboard delivered. Monthly quality reports thereafter.
Radiologists decide; AI adds a review cue
PANCREASaver® is designed to fit radiologist review workflows by flagging suspicious findings for closer evaluation.
Scan complete
CT scan finishes; images are analyzed by AI in the background (~60–90 seconds).
AI annotation and alert
Suspicious findings are flagged side-by-side with the original images for the radiologist's review.
Follow-up suggestion
For studies with flagged findings, the system supports follow-up review according to the institution’s protocol.
Validated in real settings
Add AI-assisted pancreatic CT review to your program
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