Dataset opportunity
Vitestro — 医疗影像数据集机会
Vitestro 持有的中等规模医疗影像数据集，可用于诊断人工智能和计算机视觉。
Score
68.6
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
数据共享协议
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球医疗诊断人工智能市场 = 2023 年为 11 亿美元，复合年增长率为 25.2%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-01
How Vitestro’s first-of-its-kind Aletta robot autonomously draws blood
medicaldesignandoutsourcing.com ↗
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Profile
Dataset profile
Type
医疗影像数据集
Modality
图像
Sector
医疗保健
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（个人身份信息审查）
Buyer persona
医疗人工智能与诊断影像公司
Vitestro 提供高度专业化的医疗影像数据集，用于诊断人工智能开发，该数据集来源于其专有的自主抽血设备。该集合包含患者血管的超声和红外耦合图像，并附带设备产生的 `iot_data` 和 `medical_records`。这种多模态数据集非常适合训练和验证复杂任务的算法，例如实时静脉检测和穿刺引导，在自动化医疗程序领域具有显著优势。
商业价值锚定在快速扩张的医疗诊断人工智能市场，该市场在 2023 年的估值为11 亿美元，预计将以 25.2% 的复合年增长率增长。尽管由于严格的 GDPR 和 EU MDR 合规性以及与医院合作伙伴共享数据所有权而存在访问复杂性，但这种与硬件相关的专有且稀有的成像数据使其成为任何旨在创新并抓住这一高增长市场份额的实体的关键资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：医疗数据受严格的 GDPR 和欧盟医疗器械法规 (MDR) 合规性约束；数据所有权可能涉及部署设备的医院合作伙伴；与专有硬件相关的高度专业化的超声和红外成像数据集 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Vitestro 持有来自 A.D.A.P.T. 临床研究的大规模专有数据集，这是同类自主抽血研究中规模最大的。该数据结合了人工智能驱动的超声和红外静脉图像以及来自超过 1,500 名患者的性能日志，为诊断人工智能开发者创造了独特的资产。在全球医疗诊断人工智能市场预计每年增长超过 25% 的情况下，该数据集对于训练和验证下一代手术引导和诊断成像算法至关重要。
See dimension details ↓- Dataset Specificity90
主导的“医疗记录”，医疗保健行业，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于诊断人工智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求极高，这得益于医疗诊断人工智能市场的快速增长，该市场正以 25.2% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
个人身份信息/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
所有权=公司所有，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 个数据胃口信号（0 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，1 个近期外部信号 — 超出已货币化的专有数据
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ 良好目标 — Vitestro 是一个理想的目标，因为它开发并销售用于血液收集的物理机器人设备，作为其核心运营业务的副产品，生成专有的超声和近红外成像数据。
- Deep Qualification90
⚠ 需要审查 — Vitestro 是一家销售 Aletta® 机器人采血设备的工具供应商；有价值的成像数据是其医院客户在严格的医疗法规下生成和拥有的副产品，这使得直接从 Vitestro 获取数据不可行。[数据由公司客户拥有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
该数据集包括独特的人工智能驱动的 3D 静脉可视化集合，结合了超声和红外成像，这对于开发先进的手术引导系统来说是高度抢手的。
IoT / sensor data
持有者拥有临床试验的详细时间序列性能日志，记录了针轨迹和穿刺精度，以验证自主系统 94.5% 的首次穿刺成功率。
Medical records / imaging
该数据集以 A.D.A.P.T. 研究的数据为基础，这是自主抽血规模最大的临床试验，为模型训练和验证提供了超过 1,500 名患者就诊的坚实基础。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Vitestro Medical Imaging — a Moderate medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI in Medical Diagnostics Market = $1.1 Billion in 2023, CAGR 25.2% (source: Market.us). Investment score 68.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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