MD.aiは、放射線医学向けの包括的なAIプラットフォームであり、医療画像AIモデルを構築・検証するためのDICOMネイティブのデータアノテーションツールと、放射線科医の臨床ワークフローを強化し、効率、精度、コンプライアンスを確保するLLM搭載のレポートシステムを提供します。
製品概要
MD.ai 製品概要
MD.aiは、放射線医学向けの包括的なAIプラットフォームであり、医療画像AIモデルを構築・検証するためのDICOMネイティブのデータアノテーションツールと、放射線科医の臨床ワークフローを強化し、効率、精度、コンプライアンスを確保するLLM搭載のレポートシステムを提供します。
Tempus 製品概要
Tempusは、ヘルスケアにおける人工知能の実用化を通じて精密医療を推進するリーディングテクノロジー企業です。世界最大級の多峰性臨床・分子データライブラリを活用し、医師による個別化された患者ケアの提供や、新しい治療法の発見・開発を加速させます。
Detailed feature comparison
| Feature | MD.ai | Tempus |
|---|---|---|
| 主要カテゴリー | データアノテーション | 臨床サポート |
| 追加日 | 2025-09-07 | 2025-09-19 |
| 価格 | 未確認 | 未確認 |
| 公式サイト | md.ai | tempus.com |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 5.6K | 151.5K |
| 月間成長率 | -39.6% | 15.9% |
| お気に入り | 131 | 121 |
| Details | 詳細を見る | 詳細を見る |
MD.ai vs Tempus monthly traffic
Compare MD.ai and Tempus by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the MD.ai vs Tempus monthly traffic comparison, MD.ai currently shows 5.6K visits and Tempus shows 151.5K; Tempus has about 27.2 times the visible traffic of MD.ai, an absolute difference of about 145.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
MD.ai monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 9.5K 月間訪問数
- 2026/1: 7.8K 月間訪問数
- 2026/2: 6.1K 月間訪問数
- 2026/3: 5.5K 月間訪問数
- 2026/4: 9.2K 月間訪問数
- 2026/5: 5.6K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 82.67% | 4.6K |
| 🇮🇳India | 13.23% | 735 |
| 🇯🇵Japan | 4.1% | 228 |
検索キーワード
Tempus monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 165.7K 月間訪問数
- 2026/1: 150.9K 月間訪問数
- 2026/2: 138.8K 月間訪問数
- 2026/3: 136.5K 月間訪問数
- 2026/4: 130.7K 月間訪問数
- 2026/5: 151.5K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 86.21% | 130.6K |
| 🇮🇳India | 4.87% | 7.4K |
| 🇰🇷Korea, Republic of | 4.08% | 6.2K |
| 🇨🇦Canada | 2.71% | 4.1K |
| 🇳🇬Nigeria | 2.13% | 3.2K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| 参照元 | 48.63% | 73.7K |
| ダイレクト | 47.07% | 71.3K |
| Eメール | 4.3% | 6.5K |
検索キーワード
Usage comparison
Compare the core capabilities of MD.ai and Tempus
MD.ai Core features
Tempus Core features
Use cases
MD.ai Use cases
Tempus Use cases
Best suited roles
MD.ai Best suited roles
Tempus Best suited roles
MD.ai vs Tempus:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth MD.ai vs Tempus comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. MD.ai is primarily listed under “データアノテーション”, while Tempus is primarily listed under “臨床サポート”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (MD.ai: データアノテーション; Tempus: 臨床サポート); Monthly visits (MD.ai: 5.6K; Tempus: 151.5K); Monthly growth (MD.ai: -39.6%; Tempus: 15.9%); Favorites (MD.ai: 131; Tempus: 121); Website (MD.ai: md.ai; Tempus: tempus.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the MD.ai vs Tempus monthly traffic comparison, MD.ai currently shows 5.6K visits and Tempus shows 151.5K; Tempus has about 27.2 times the visible traffic of MD.ai, an absolute difference of about 145.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Tempus first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
MD.ai and Tempus currently overlap in shared roles: データサイエンティスト、医療管理者、医療研究者. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
MD.ai's unique categories/tags are データアノテーション、医用画像、自動化、AI、臨床報告、データラベリング、DICOM、FDA承認; Tempus's are 臨床サポート、医学研究、精密医療、ヘルスケアにおけるAI、臨床アシスタント、臨床試験、創薬、電子カルテ連携. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
MD.ai has no verified rating, 0 comments, 131 favorites, and 112 likes;Tempus has no verified rating, 0 comments, 121 favorites, and 118 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate MD.ai first
Put MD.ai on the priority trial list when the task aligns with “データアノテーション” and especially データアノテーション、医用画像、自動化、AI、臨床報告、データラベリング, or the users include AI開発者、臨床インフォマティシャン、製薬研究者、放射線科医. This follows recorded positioning and does not imply unlisted capabilities are absent.
MD.ai also currently records: pricing is not verified, product type is website, 5.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Tempus first
Put Tempus on the priority trial list when the task aligns with “臨床サポート” and especially 臨床サポート、医学研究、精密医療、ヘルスケアにおけるAI、臨床アシスタント、臨床試験, or the users include バイオインフォマティシャン、臨床試験マネージャー、腫瘍専門医、製薬科学者. This follows recorded positioning and does not imply unlisted capabilities are absent.
Tempus also currently records: pricing is not verified, product type is website, 151.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in MD.ai and Tempus, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




