## ⚠ Content Warning

This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here.

---
last_verified: "2026-05-19T11:54:10.656Z"
---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "DICOM Viewer : eMma"
developer_entity: "株式会社Kompath"
bundle_id: "com.kompath.eMma"
app_store_id: "1394116676"
google_play_id: "com.app.dicom_viewer"
category: "Medical"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2025-09-20"
report_date: "2026-05-19"
last_verified: "2026-05-19"
report_version: "1.3"
total_reviews: 1
overall_rating: 1
confidence: "low"
confidence_score: 0.05
data_age_days: 0
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["medical", "free", "mobile app", "app review", "app analysis", "medical", "professionals", "requiring"]
canonical_url: "https://marlvel.ai/apps/com-kompath-emma"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# DICOM Viewer : eMma App Audit

## TL;DR {#tldr}

- **Category**: Medical · Free
- **Signal**: Rating 1

> **TL;DR:** DICOM Viewer : eMma is a medical app by 株式会社Kompath, rated 1/5 by 1 users, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** DICOM Viewer : eMma is a medical app by 株式会社Kompath.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 1/5 (1 reviews) |
| **Category** | Medical |
| **Developer** | 株式会社Kompath |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 44d |

## Metadata & Market Performance
- **Publisher:** 株式会社Kompath
- **Category:** Medical
- **Target Audience:** Medical professionals requiring mobile access to DICOM imaging for review and analysis.
- **Platforms:** iOS & Android
- **Version Audited:** 1.3
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 1394116676
- **Bundle ID:** com.kompath.eMma
- **Google Play ID:** com.app.dicom_viewer
- **Data Window:** Analysis based on signals collected up to 2026-05-19

<!-- section:executive-snapshot -->
## Executive Snapshot
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.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Image Selection Mode:** Allows for rapid loading and simultaneous viewing of multiple medical images filtered by patient name, modality, or sequence.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] 3D Reconstruction:** Supports the generation and viewing of Coronal and Sagittal planes from original Axial CT or MR image data.
- **[Standard] Dual-Screen Comparison:** Provides a split-screen interface with a synchronization function to compare two images simultaneously.
  * *User Intent:* Users expect seamless access across multiple devices.
- **[Standard] Touch-Based Manipulation:** Enables intuitive adjustment of window levels, image zooming, and panning through standard touch gestures.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Free

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

Last updated 240d ago. 4 versions tracked.

> **Cadence:** 4 total versions · 0 majors in last 6 months · 240 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

DICOM Viewer : eMma is an established medical app that is completely free.
With a 1/5 rating from 1 reviews, it shows polarized user reception.

<!-- speakable-start -->
> **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.
<!-- speakable-end -->

**Best for:** Medical professionals requiring mobile access to DICOM imaging for review and analysis.

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 1/5 |
| Total Reviews | 1 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **DICOM Viewer : eMma** (this app) | 1/5 | N/A | 株式会社Kompath |
| [Move On with AJ](https://marlvel.ai/apps/move-on-with-aj) | 4.3/5 | Excited | Universal Relaxation Ltd |
| [Ortho Traumapedia](https://marlvel.ai/apps/orthotraumapedia) | 3.5/5 | N/A | HTG, LLC |
| [NYC Employees PPO Plan](https://marlvel.ai/apps/com-uhg-mobile-nyce) | 4.6/5 | N/A | United HealthCare Services, Inc. |
| [DeepScribe](https://marlvel.ai/apps/deepscribe) | 4.0/5 | N/A | DeepScribe |
| [Procedure Log](https://marlvel.ai/apps/com-rmk-iosapps-procedure-log) | 4.8/5 | N/A | Robert Kuhnhenn |

## Company Profile
- **Developer:** 株式会社Kompath

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/kh/app/dicom-viewer-emma/id1394116676?uo=2)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.app.dicom_viewer&hl=en&gl=kh)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Move On with AJ*](https://marlvel.ai/apps/move-on-with-aj) (Universal Relaxation Ltd) — 4.3/5 Rating | Positive Sentiment
- [*Ortho Traumapedia*](https://marlvel.ai/apps/orthotraumapedia) (HTG, LLC) — 3.5/5 Rating | N/A Sentiment
- [*NYC Employees PPO Plan*](https://marlvel.ai/apps/com-uhg-mobile-nyce) (United HealthCare Services, Inc.) — 4.6/5 Rating | N/A Sentiment
- [*DeepScribe*](https://marlvel.ai/apps/deepscribe) (DeepScribe) — 4.0/5 Rating | N/A Sentiment
- [*Procedure Log*](https://marlvel.ai/apps/com-rmk-iosapps-procedure-log) (Robert Kuhnhenn) — 4.8/5 Rating | N/A Sentiment
- [*Dario Health*](https://marlvel.ai/apps/dario-health) (LabStyle Innovation Ltd) — 4.8/5 Rating | Negative Sentiment
- [*Access - by McGraw Hill*](https://marlvel.ai/apps/access-by-mcgraw-hill) (McGraw-Hill) — 3.9/5 Rating | N/A Sentiment
- [*Meu SUS Digital*](https://marlvel.ai/apps/meu-sus-digital) (Servicos e Informacoes do Brasil) — 3.7/5 Rating | N/A Sentiment
- [*CRNA Nurse Anesthesia Review*](https://marlvel.ai/apps/crna-nurse-anesthesia-review) (Higher Learning Technologies) — 4.7/5 Rating | N/A Sentiment
- [*FHO+ Calc*](https://marlvel.ai/apps/ca-fhocalc-app) (Manu Kaushik) — N/A Rating | N/A Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting.
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.05/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 44 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/com-kompath-emma)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.