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DICOM Viewer : eMma

DICOM Viewer : eMma

By 株式会社Kompath

eMma is a medical DICOM viewer for iOS developed in collaboration with the University of Tokyo Hospital. It enables users to import, manage, and analyze medical imaging data such as CT, MR, and PET scans directly on mobile devices.

Overview · Full Intel report in progress

The App DNA

What makes this app unique?

For Medical professionals requiring mobile access to DICOM imaging for review and analysis.

What does it look like?

Key features

Image Selection Modestandard

Allows for rapid loading and simultaneous viewing of multiple medical images filtered by patient name, modality, or sequence.

3D Reconstructionstandard

Supports the generation and viewing of Coronal and Sagittal planes from original Axial CT or MR image data.

Dual-Screen Comparisonstandard

Provides a split-screen interface with a synchronization function to compare two images simultaneously.

Touch-Based Manipulationstandard

Enables intuitive adjustment of window levels, image zooming, and panning through standard touch gestures.

How much does it cost?

free

Velocity

Maintenance developmentShow more...

4 versions in history. Development pace: maintenance.

See all version history

Who built it?

株式会社Kompath

2 apps tracked · Medical

3D解剖学アトラス:iRis3D解剖学アトラス:iRis
Explore the full publisher profile

User Sentiment

What do users think recently?

How are ratings & reviews evolving?

App Store
1.00 · 1
Google Play
0.00 · 0

Not enough recent reviews to extract reliable themes yet.

Read the full review analysis

Competition

Competitive landscape for DICOM Viewer : eMma

How's the Medical market?

The rivals identified

The Analyst's Read

Key takeaways for DICOM Viewer : eMma

Where is it heading?

Bottom line

This app provides a specialized mobile interface for viewing and comparing medical DICOM images, though it is limited by device memory and does not support multi-frame or 4D data.

Report last updated

Disclosure: Independent intel to help mobile builders succeed.

AI-powered analysis with automated quality gates, built from publicly available sources. Marlvel.ai is not affiliated with, endorsed by, or sponsored by DICOM Viewer : eMma, its developer, the app publisher, Apple, or Google Play. All trademarks, logos, and screenshots referenced remain the property of their respective owners.

Cite this report

Marlvel.ai. “DICOM Viewer : eMma Intelligence Report.” Updated May 19, 2026. https://marlvel.ai/apps/com-kompath-emma

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