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Case Studies

Real Imaging, Real Outcomes.

How clinicians and partners deploy EBM technology in the field — from smart mammography buses and remote-island endoscopy to FDA Breakthrough Device AI and rural mobile clinics.

Mobile Screening

Smart Mammo Bus

Streamlining breast screening with an AI-implemented workflow.

The Challenge

Patients waited 2–3 weeks for test results, reducing their willingness to return to the hospital and causing treatment delays.

The Solution

Breast X-ray images are transmitted to UDE via DICOM, then sent to radiologists by QR code. Radiologists review the images with AI results on UDE and complete reports on AgileRIS — returning results within an hour, with abnormal cases promptly scheduled for further examination.

Non-FDA AIs Edge Computing Lesion Detection
2⁄3 shorter screening process

Highlights

  • Remote transmission with 5G
  • Mammography AI integration
  • Edge computing assists diagnosis verification
  • Real-time diagnosis results
“Compared to the past, the workflow has shortened the screening process by two-thirds and can more effectively identify high-risk patients.” — Dr. Hung-Wen Kao, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation
Telemedicine

Remote Outlying Island Gastrointestinal Endoscopy

Applying AI to gastric endoscopy images across distance.

The Challenge

For patients with gastric cancer risks, pathological samples were air-shipped to the medical center for lab testing — a 1–2 week process that delayed treatment.

The Solution

Physicians on the outlying island upload patients’ endoscopy images to the AI server at the medical center via UDE. The AI processes the images within seconds and returns results to UDE, so physicians can immediately provide recommendations and treatment plans.

AI Projects Cloud Computing Lesion Detection
1–2 wks → min result wait time

Highlights

  • Streamlined deployment with minimal resources
  • Telemedicine with cloud computing
  • Significantly reduced image-review time
  • Work without workspace or network limits
“UDE and AI have reduced the original 1–2 weeks of result wait time to just a few minutes.” — Dr. Yi-Chia Lee, National Taiwan University Hospital
AI Platform

PANCREASaver® on the EBM AI Platform

A seamless, AI-integrated workflow for pancreatic cancer detection.

The Challenge

Even after an AI model is developed, understanding physician usage habits and providing a well-integrated process is a high barrier to entry.

The Solution

PANCREASaver® integrates with the EBM AI platform for an automated process spanning image communication, AI inference, and result conversion for archival and management. Physicians access AI results through the EBM PACS Viewer and UDE App — or their existing hospital PACS viewer — with critical-notification capabilities, reaching 3,500+ potential customers.

Prioritization Radiologist-Approved AI Results Cloud Computing
FDA Breakthrough Device

Highlights

  • FDA Breakthrough Device AI
  • Risk-ranking notification
  • Prioritize diagnosis of high-risk patients
  • Reduce overlooked details
“With the introduction of the EBM AI platform, it allows us to keep the original workflow and also improve the efficiency of the image reviewing process.” — Dr. Po-Ting Chen, National Taiwan University Hospital
Security & Privacy

Secure Medical Imaging Processing & Transmission

Privacy-first image handling that bridges hospitals and third-party vendors.

The Challenge

Hospitals faced time-consuming manual data collection and privacy concerns, even with cloud uploads. Integration with third-party services was complex, requiring staff to learn multiple systems.

The Solution

The UDE App batch-processes data to remove patient information, ensuring privacy and eliminating manual effort. With a DMZ network setup separating internal and external networks, it enhances security and bridges hospitals and third-party providers with intuitive, secure image management on iPad®.

Data Security Privacy Compliance Interoperability
DMZ network architecture

Highlights

  • Automatic removal of patient information
  • Enhanced data security via DMZ architecture
  • Simplified third-party integration
  • Multi-format display (OBJ, MTL, STL) on iPad®
Mobile PACS

Rural Mobile Clinic Imaging Solution

A seamless mobile-to-clinic imaging workflow with remote consultation.

The Challenge

With no portable PACS during mobile visits, images couldn’t be archived on-site, and transferring data to urban hospitals for specialist referrals caused significant delays.

The Solution

UDE receives modality images on-site via DICOM. After returning, images sync from UDE to EPS Pi for archiving. For complex cases, physicians share the patient’s full image history with urban specialists via QR code for immediate teleconsultation.

Telemedicine Mobile PACS Edge Sync
0 fixed infrastructure needed

Highlights

  • On-site mobile PACS on iPad®
  • Clinic archive sync to EPS Pi
  • QR-code teleconsultation
  • Care delivery in the most remote settings
“UDE provides an excellent platform that allows frontline physicians to prepare the data specialists need for consultation.” — Dr. Lu, Taitung Mackay Memorial Hospital, Division of Cardiology

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