Dataset opportunity
Sutter Med — 医疗影像数据集机会
Sutter Med 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
70.7
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
56%
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)
全球医疗影像人工智能市场将从 2024 年的 16.7 亿美元增长到 2032 年的 131.8 亿美元，复合年增长率为 29.48%。
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
中等
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
Sutter Med 拥有全面的医疗影像数据集，包含多种影像模态。该数据集独特地丰富了相关的`medical_records`、设备`maintenance_logs`和射频发生器的`iot_data`，提供了多层级背景信息，这对于开发和验证高性能诊断人工智能算法至关重要。
医疗影像人工智能的全球市场正在经历显著扩张，预计 2024 年市场价值将达到16.7 亿美元，复合年增长率（CAGR）将达到惊人的29.48%。[1] 虽然访问受到严格的GDPR/MDR隐私法规的约束，并且可能需要复杂的固件级数据提取，但该数据集的深度，包括专有的交叉引用数据库，为严肃的人工智能买家提供了一个罕见且有价值的机会，值得付出谈判努力。⚠ 尽职调查（有价值的数据，可协商的访问权限）：临床数据和应用报告受严格的医疗隐私法规（GDPR/MDR）约束；射频发生器的设备遥测数据可能需要固件级提取；专有的交叉引用数据库是其销售团队的竞争优势。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Sutter Med 拥有来自电外科手术临床研究的宝贵医学影像数据集，这些影像直接关联到特定的医疗器械。这种多模态集合包括其射频发生器的时间序列性能数据和维护日志，从而全面了解设备的使用情况和结果。对于诊断人工智能开发者来说，该数据集是构建预测手术效果和设备性能模型的稀有资产，目标是快速增长的医疗影像人工智能市场，预计到 2032 年将达到 131.8 亿美元以上。
See dimension details ↓- Dataset Specificity90
主导的“medical_records”，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 Rarity58
专有领域数据（开放会降低稀有度）
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
买家需求异常高，这得益于市场以 29.48% 的预测复合年增长率快速扩张，表明在人工智能驱动的诊断解决方案方面存在激烈且不断增长的投资。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
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 Strength74
4 种证据类型，4 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 个数据需求信号（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 — 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 Audit100
✓ 良好目标 — 这是一个理想的目标：一家制造和销售电外科硬件的德国中小型企业，其设备可能产生有价值的专有运营数据作为副产品，并且没有迹象表明他们已经在货币化这些数据。问题：最初的“医疗影像数据集”假设不正确；该公司制造手术设备（用于切割/凝固），而不是影像设备。Th；与“Sutter Health”存在高度混淆的风险，后者是一家大型、不相关的美国医疗保健提供商，在人工智能和数据分析方面进行了大量投资。[15, 16, 17
- Deep Qualification90
⚠ 需要审查 — Sutter Medizintechnik 是一家销售电外科设备的工具供应商，而不是医疗影像的数据持有者。其工具生成的数据归客户（医疗保健提供商）所有，使得最初的可销售影像数据集的机会假设不正确。[数据归公司客户所有；数据集类型与实际活动不符：该公司制造和销售电外科器械和发生器，而不是医疗影像设备；因此，预计其不拥有“医疗影像数据集”。[5, 12, 13]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Data catalog / marketplace
该公司维护着一个详细的产品目录，将 6,000 多个唯一 artigo 编号映射到特定的可重复使用和一次性手术器械，提供了将手术与确切设备型号关联起来的关键元数据。
Medical records / imaging
该数据集包含来自评估患者结果的临床研究的医学影像，例如在特定的电外科手术（如双极射频体积缩小术）后伤口愈合情况。
IoT / sensor data
Sutter Med 捕获其 CURIS® 4 MHz 射频发生器的时间序列数据，包括实时运行指标，如组织阻抗，这对于训练人工智能预测手术性能至关重要。
Maintenance logs
该公司拥有其器械维修和更换计划的维护日志，提供了设备生命周期和使用情况的独特纵向历史记录，可以与性能和患者结果相关联。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Sutter Med 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 Imaging market to grow from $1.67 billion in 2024 to $13.18 billion by 2032, at a CAGR of 29.48% (source: DelveInsight). [1]. Investment score 70.7/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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