Dataset opportunity
Zetasurgical — 图像数据集机会
Zetasurgical 持有的中等规模图像数据集，可用于计算机视觉和多模态预训练。
Score
48
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
51%
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)
全球手术导航系统市场将从 2026 年的 111 亿美元增长到 2034 年的 320.9 亿美元，复合年增长率 (CAGR) 为 14.19%（来源：Fortune Business Insights）。
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
图像数据集
Modality
图像
Sector
医疗保健
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
计算机视觉实验室和基础模型团队
Zeta Surgical 持有一个专有的图像数据集，由高频手术导航日志、相关的医学影像（如 CT 扫描）和 `medical_records` 组成。该精选集合专为训练先进的计算机视觉模型而设计，其主要价值在于详细的实时解剖映射和手术结果数据，这是一种来自手术设备的 `iot_data`。
全球手术导航系统市场是该数据价值的关键指标，预计将从 2026 年的 111 亿美元增长到 2034 年的 320.9 亿美元，复合年增长率 (CAGR) 为 14.19%。尽管由于 HIPAA/GDPR 管辖的敏感患者信息和数据所有权共享而存在访问复杂性，但该数据集的稀有性和高保真度使其对于开发下一代人工智能驱动的手术工具具有非凡价值。⚠ 尽职调查（有价值的数据，可协商访问）：数据涉及敏感的患者医疗影像和手术结果（HIPAA/GDPR）。; 所有权可能在 Zeta Surgical 和临床试验点/医院之间划分。; 主要价值在于高频手术导航日志和人工智能处理的解剖映射。 · 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 Zetasurgical 拥有一项专有的手术图像数据集，该数据集已通过与哈佛医学院和其他顶尖医院的高调合作得到验证。该数据支持一个用于神经导航的计算机视觉平台，该平台已在试验中显示出卓越的临床结果，例如 100% 的单次穿刺导管放置。对于构建基础模型的人工智能实验室来说，这是一个难得的机会，可以获取高保真度的真实世界手术数据，以在快速扩张的 320 亿美元手术导航市场中竞争。
See dimension details ↓- Data Orientation22
0 数据需求信号（0 类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
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 Audit75
⚠ 审查 — 该公司的核心业务是销售一款获得 FDA 批准的人工智能驱动的手术导航系统，这是一种智能/人工智能软件，因此不适合。问题：公司核心产品是作为产品销售的人工智能/软件系统，而不是休眠数据的持有者；公司的商业模式是“销售智能”，这明确排除了 ICP；Zeta Surgical 已上市销售商业化、获得 FDA 批准的产品。
- Dataset Specificity90
占主导地位的“图像集合”，行业医疗保健，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 Volume58
4 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
适用于计算机视觉
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，这得益于手术导航系统市场的快速增长（复合年增长率 14.19%）以及对专有高质量数据以训练先进计算机视觉模型的基本需求。
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
高难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength65
3 种证据类型，4 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，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. - Deep Qualification90
⚠ 需要审查 — Zeta Surgical 是一家医疗技术供应商，销售一款人工智能驱动的手术导航平台，而不是数据经纪人。存在有价值的专有图像数据集作为训练其自身人工智能的副产品是高度可信的。然而，这些涉及患者扫描和手术日志的数据，受到严格的医疗法规（HIPAA/GDPR）以及与临床机构的共享所有权的约束，使得直接获取变得复杂。[商业模式 = 工具供应商]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
这表明来自神经导航的计算机视觉平台的研究级图像集合，该平台是与世界一流的学术医学中心合作开发的。
IoT / sensor data
这指向高频时间序列数据，捕获手术过程中实时患者运动，这对于训练人工智能模型进行动态跟踪和导航至关重要。
Medical records / imaging
这表明图像与明确的临床结果数据相关联，为训练模型以优化手术表现和预测成功提供了宝贵的标签。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
S3 bucket
Formats
DICOM, JSON, CSV
License
One-time license for internal research and development of computer vision models for surgical navigation systems.
Personal data
Contains PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-rarity image dataset is crucial for training advanced computer vision models in the rapidly growing surgical navigation systems market, driven by strong sector demand and validated by prestigious collaborations.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Zetasurgical Image — a Moderate image dataset (Image modality) in the healthcare domain. Primary AI use-case: Computer Vision. Market signal: Global Computer Vision in Healthcare market size was estimated at USD 2.7 billion in 2024, with a projected CAGR of 32.7% from 2025 to 2030.. Investment score 47.5/100 (confidence 0.51). Recommended action: Data Sharing Agreement.
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