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drahmedaboufoul/aihealth-imaging

aiHealth Imaging — standalone PACS + DICOM/CBCT/IOS viewer extracted from the aiHealth EMR. Phase 1: shared Supabase, embedded back into EMR via window.open. See handoff/IMAGING_SPLIT.md in the EMR repo for the full extraction contract.

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SUMMARY AI summary by gpt-5-mini

aiHealth Imaging は、aiHealth EMR から切り出した独立型のPACS/DICOM/CBCT/IOSビューアです（現状はスキャフォールド、Phase 1：抽出中、未デプロイ）。対象は放射線科、画像センター、歯科画像クリニックなど、EMRとは別の購入者・スケール要件（ペタバイト級ストレージやGPUレンダリング）や規制対応が必要な場面。抽出計画とAPIは EMR リポジトリの handoff/IMAGING_SPLIT.md を参照します。主な技術構成：Vite + React18 + Tailwind + shadcn/ui、認証とストレージは EMR と共有する Supabase（既存の patient-files/encounter-files バケットを参照）、3Dメッシュは Three.js、DICOM/CBCT は Phase 2 で Cornerstone3D + OHIF を採用予定。EMR からは window.open で埋め込み起動し、/viewer/ios、/viewer/dicom、/viewer/cbct 等の URL 契約を持ちます。ローカル開発は npm run dev、デプロイは main から Vercel。今後の作業はビューアコンポーネントの切り出し、EMR 側のフィーチャーフラグ追加、社内での2週間の実運用（dogfood）などです。

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💾 Databases (1)

Supabase

🌐 Web frameworks (1)

React

☁️ Cloud platforms (1)

Vercel

Language breakdown (by bytes)

CSS

HTML

0.1%

JavaScript

89.5%

TypeScript

10.3%

Owner

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drahmedaboufoul

Type

User

Followers

Dates

Created on GitHub	2026-05-06
Last push	2026-05-09
First seen here	2026-05-09
Last fetched	2026-05-09 18:20

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