For Clinicians

Evidence speaks best.

PANCREASaver® claims are supported by published evidence and regulatory documentation — information designed for radiology teams.

TFDA Medical Device License: No. 007946

AUC 0.95

Nationwide, multicenter validation: AUC 0.95

Scroll to watch the AUC curve draw — the cited nationwide study reports an AUC of 0.95 across 1,473 CT studies.

Nationwide, multicenter ROC curve from Radiology 2023, Figure 3 (AUC 0.95)

Figure source: Radiology 2023 (220152) Fig. 3 — nationwide multicenter validation (n=1,473) |Article ↗

92.1%
Sensitivity for tumors under 2 cm
0.95
Multicenter AUC
5500+
Cumulative patient cases (research & commercial use)
10
Patents (Taiwan and U.S.)
Clinical Evidence

Every number, sourced

Six peer-reviewed publications, nine recognitions, and documented regulatory status in Taiwan and the United States.

Certifications & Awards

9 national recognitions

RSNA Margulis Award2023 · First for Taiwan
SNQ National Quality MarkHealthcare quality recognition
Taipei BioTech AwardInnovative technology
National Drug & Medical Device Research AwardMedical Device Category Gold Award
National Innovation AwardInnovation recognition
FDA BreakthroughU.S. Breakthrough Device
Milestones

From lab to clinic

2019

Prof. Wang's team at NTU launches AI early detection research

2021

Prof. Liao of NTUH leads multicenter clinical validation

2022

PanCAD.ai founded; technology licensed for commercialization

2023

First Margulis Award for Taiwan at RSNA

2023

FDA Breakthrough Device Designation; Taiwan TFDA license No. 007946

2026

Used across medical centers, regional hospitals, and health centers, with cumulative use in more than 5,500 patient cases across research and commercial applications

Key Publications

Every step, published

Lancet Digital Health

Multicenter validation of AI-assisted pancreatic CT review

Radiology

Deep learning for pancreatic lesion detection on CT

Other international journals

6 papers total, covering algorithms, clinical validation and workflow

Integration

Seamless with your existing systems

From assessment to go-live, four steps — we walk with you all the way.

1

Needs assessment

We review your imaging equipment, IT systems and clinical workflow to define scope.

2

System integration

Interface with PACS/RIS; AI results flow back automatically within the institution’s workflow.

3

Validation & training

Training for radiologists and technologists, plus validation on your institutional data.

4

Go-live & follow-up

Continuous performance monitoring, regular statistical reports and technical support.

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 ↗

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