MEET PANCAD.AI AT RSNA 2026 Booth 5132 · Chicago · Nov 29–Dec 2 Schedule a demo ↗
AI-powered, radiologist-reviewed analysis for contrast-enhanced abdominal CT

Support earlier review.
Fit the workflow you already use.

PANCREASaver® is AI-powered, radiologist-reviewed medical device software for contrast-enhanced abdominal CT. It flags suspicious pancreatic findings for clinical review and does not issue an independent diagnosis.

92.1%Sensitivity for tumors under 2 cm
0.95AUC across 1,473 CT studies
5500+Cumulative patient cases (research & commercial use)
FDAFDA Breakthrough Device Designation

U.S. status: FDA Pending; not yet cleared for U.S. marketing.

RSNA 2026 and PanCAD.ai logos. Meet PanCAD.ai at Booth 5132 in Chicago, November 29 to December 2.
MEET US AT RSNA 2026

See PANCREASaver® in conversation with our team.

Meet PanCAD.ai at Booth 5132, McCormick Place, Chicago. Explore AI-assisted review of contrast-enhanced abdominal CT and discuss your clinical or integration needs.

Technical Exhibits · November 29–December 2, 2026 · 10 a.m.–5 p.m. CT

Explore the event & schedule a demo ↗
Why it matters

Support earlier detection without adding friction.

Built for the pressure points radiology teams face every day: subtle findings, crowded worklists and limited time.

01

Flag findings that merit a closer look

Pancreatic lesions can be subtle on abdominal CT. PANCREASaver® provides an automated AI-assisted review that flags suspicious findings for radiologist attention.

02

Prioritize the cases that need a closer look

Automatically analyzed studies can be flagged for review, helping teams focus attention where it matters most.

03

Add decision support without adding clicks

PANCREASaver® fits the PACS workflow your team already knows, adding decision support without requiring a new viewing habit.

Product introduction

See how PANCREASaver® fits the clinical workflow

From scan completion to AI analysis and radiologist review, this official overview shows how PANCREASaver® works alongside the imaging team.

For product and educational information; AI outputs are reviewed by healthcare professionals.

Watch on YouTube ↗
Official PANCREASaver® product introduction video thumbnail
Official PANCREASaver® product introduction · Watch on YouTube ↗
See the AI-assisted review

The same CT, with an additional review cue.

Pancreatic findings can be subtle on routine abdominal CT. PANCREASaver® analyzes the same images and flags areas for radiologist review within the existing workflow.

Original contrast-enhanced abdominal CT slice
Original CTA routine contrast-enhanced abdominal CT slice.
VS
Same CT with PANCREASaver AI auto-marking the sub-2 cm pancreatic lesion
With PANCREASaver®The sub-2 cm lesion is auto-marked for the radiologist — 92.1% sensitivity.

Real clinical CT images with actual PANCREASaver® output overlay. Radiologists always review and confirm AI findings.

92.1%Sensitivity for tumors under 2 cmLancet Digital Health, 2020 ↗
0.95Nationwide multicenter AUCRadiology, 2023 · n=1,473 ↗
5,500+Cumulative patient cases (research & commercial use)Company usage totals · Oct 13, 2026
FDABreakthrough Device DesignationView regulatory status ↗
The product

An AI-assisted review that fits clinical workflow

PANCREASaver® is software as a medical device (SaMD) with FDA Breakthrough Device Designation. When an abdominal CT scan finishes, it analyzes the images, flags suspicious pancreatic findings, and returns results to the radiology workflow for review.

Automated analysis after the scan

Analysis starts after the scan completes; the full pancreas is analyzed within minutes.

Designed to flag small lesions for review

The cited study reported 92.1% sensitivity for lesions under 2 cm. PANCREASaver® is intended to support radiologist review, not replace clinical judgment.

Clinically validated

Six peer-reviewed publications and a nationwide, multicenter AUC of 0.95, led by the National Taiwan University Hospital team.

Reading workflow

From scan to alert, in minutes

1

CT scan

The patient undergoes an abdominal CT; images are sent into the existing workflow.

2

AI analyzes the study

PANCREASaver® analyzes the study within minutes; the radiologist reviews the findings.

3

Mark and prioritize

Suspicious findings are marked and prioritized in the PACS worklist.

4

Radiologist review

The radiologist reviews the findings and signs the final report; AI supports review and does not replace clinical judgment.

Seamless PACS integration

One integration. Every workflow.

PANCREASaver® was designed around existing radiology workflows. It connects to your PACS/RIS environment; implementation details depend on the institution.

Works with your existing PACS

DICOM-native integration connects to the PACS/RIS infrastructure you already run — the software fits your existing environment.

Vendor-neutral

Compatible with GE, Siemens, Philips, Canon and more — it runs on the scanners and viewers you already own.

Designed to minimize workflow changes

Radiologists continue to review studies in their existing workflow while the software runs in the background and flags findings for attention.

Weeks, not months

Typically live in as little as 4 weeks with minimal IT lift — onboarding, training and go-live support included.

How the integration works

1

Connect

A DICOM link connects PANCREASaver® to your CT scanners and PACS.

2

Analyze

The analysis starts automatically after the scan is complete; no separate application launch is required.

3

Alert

Suspicious studies are prioritized in the worklist with findings marked for radiologist review.

4

Report

Structured findings are returned to your reporting workflow for review and sign-off.

Deployment options: On-premises or cloud; implementation and data-handling details are set with each institution.
Request an integration consultation
The real system

Not a mockup — a system used in clinical settings

PANCREASaver® integrates with clinical viewers and sign-in systems; it has been used in more than 5,500 patient cases across research and commercial applications.

PANCREASaver system in clinical use PANCREASaver®
Architecture

Secure, compliant, at home in your environment

Clinical evidence

Published. Peer-reviewed. Verified.

Six papers in leading journals — every figure on this page carries a source you can open.

The Lancet Digital Health 2020

A cross-racial study of the AI detection engine reported 92.1% sensitivity for tumors under 2 cm and correctly recovered 11 of 12 cancers missed by radiologists. The study details and limitations are available in the original paper.

Read on PubMed ↗

Radiology 2023

Nationwide multicenter performance with national-level AUC 0.95 — real clinical validation led by the NTUH team.

Read on PubMed ↗

Research and commercial use

Cumulative use in more than 5,500 patient cases across research and commercial applications. Independent third-party validation is also part of the evidence base.

All 6 publications ↗

FAQ

Common questions, direct answers

PANCREASaver® is AI-powered, radiologist-reviewed decision-support software for contrast-enhanced abdominal CT. It flags suspicious pancreatic findings for clinical review; it does not independently diagnose cancer or replace healthcare-professional judgment.

Yes. PANCREASaver® is DICOM-native and integrates with the PACS/RIS infrastructure you already run — no new viewer and no replacement of existing systems.

Typically live in as little as 4 weeks, with minimal IT lift. On-premises and cloud deployment options are available, and our team handles onboarding, training and go-live support.

No. Radiologists read exactly as they always have — AI runs automatically in the background and surfaces prioritized findings in the worklist.

It holds FDA Breakthrough Device Designation; FDA Pending. It is not yet cleared for U.S. marketing and is TFDA-licensed in Taiwan (license no. 衛部醫器製字第007946號).

Contrast-enhanced abdominal CT, per the authorized indications — the same scans your department already performs, with no extra acquisition protocol.

Voices from the field

What leading editors say about the science

Verbatim third-party statements on the peer-reviewed studies behind PANCREASaver®. Quotes are about the research — not the product — and each carries its original source.

“

…accurate detection of pancreatic cancer on CT scans, especially for tumors smaller than 2 cm. Early detection… greatly increases the chances of survival.
Linda Moy, MD Editor-in-Chief, Radiology — on the study that received the 2023 RSNA Margulis Award (first for Taiwan) Source: RSNA ↗

“

This deep learning–based tool had very good accuracy, and sensitivity approaching that of subspecialist radiologists… Tools such as this promise to benefit routine workflow and patient care.
Aisen & Rodrigues Radiology editorial, “Artificial Intelligence Living Up to Its Hype” (2023), on the nationwide study behind PANCREASaver® Source: Radiology editorial ↗

“

These promising results show that CNN as a second reader can reduce misdiagnosis of pancreatic cancer and possibly lead to improved patient outcomes.
Chu & Fishman, Johns Hopkins The Lancet Digital Health Comment (2020) on the cross-racial study behind PANCREASaver® Source: The Lancet Digital Health ↗

Want to see it in action?

Book a live demo to see how PANCREASaver® flags findings on clinical CT images.

Talk to us
Performance data sources: The Lancet Digital Health 2020 | Radiology 2023 (PubMed) | This product is a medical device — consult your physician before use.