Dataset opportunity
Docobo — 医学影像数据集机会
Docobo 持有的海量医学影像数据集，可用于诊断人工智能和计算机视觉。
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
76%
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)
全球医学影像人工智能市场在 2025 年的估值为 18 亿美元，预计复合年增长率为 35.11%（2026-2033 年）（来源：Grand View Research）。[1]
Recent dated external facts that triggered this opportunity — auditable provenance.
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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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📦Data product
用于纵向患者记录和临床分析的 DOC@HOME 平台
source ↗
Profile
Dataset profile
Type
医学影像数据集
Modality
图像
Sector
医疗保健
Volume
大型
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
大部分为客户拥有 — 符合 GDPR 要求（需进行 PII 审查）
Buyer persona
医疗人工智能与诊断影像公司
Docobo 提供了一个独特的医学影像数据集，该数据集与纵向患者记录和实时iot_data（包括生命体征）深度集成。这种丰富、多模态的数据结构提供了患者健康随时间变化的全面视图，使其在开发和验证需要超越静态图像的深度临床背景的高精度诊断 AI 模型方面具有极高的价值。
医疗影像领域 AI 的全球市场价值巨大，预计到 2025 年将达到 18 亿美元，并以惊人的 35.11% 的复合年增长率增长。[1] 尽管涉及 NHS 信息治理和集团层面战略协调的复杂访问谈判，但该数据集的稀缺性和临床深度对于旨在抓住这一快速扩张、高需求市场领先地位的买家来说是一项关键资产。[1] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据主要由 NHS（客户拥有）拥有，需要复杂的信息治理 (IG) 和二次使用批准；Graphnet Health 的子公司（System C & Graphnet Care Alliance 的一部分），需要集团层面的数据战略协调；高度敏感的临床数据，包括纵向患者记录和实时生命体征。· 公司：收购了 Graphnet Health。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了 Docobo 在英国 NHS 中的深度集成，提供了连接初级保健、医院和社区数据，覆盖超过 80 万人的纵向患者记录。这是医学影像数据集的来源，提供了诊断 AI 公司高度寻求的丰富临床背景，以训练更准确、更强大的模型。在全球医疗影像 AI 市场预计每年增长超过 35% 的情况下，该数据集代表了一个难得的机会，可以获取与完整患者旅程相关联的图像，这是开发下一代诊断 AI 的关键差异化因素。
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 Rarity58
专有领域数据（开放会降低稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
9 个证据命中，明确提及数据量
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 AI
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
买家需求异常高，这得益于医疗影像 AI 市场的爆炸式增长，预计该市场将以 35.11% 的复合年增长率扩张。[1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
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 Feasibility17
难度高，收购了 Graphnet Health
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
6 种证据类型，9 个命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License0
所有权=客户拥有，许可=符合 GDPR 要求
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
收购了 Graphnet Health
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（1 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，5 个近期外部信号 — 超出已货币化数据的专有数据
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 Audit67
⚠ 审查 — Docobo 的核心业务是销售远程患者监控和人口健康智能平台 (DOC@HOME)，这是一种销售智能的形式，因此不适合。问题：该公司的核心产品是一个软件平台 (SaaS)，为医疗保健提供商提供分析和智能。[5, 6, 7]；这不是“休眠数据”的情况；收集的数据被积极用于提供公司收费的核心服务。[1, 11, 17]；Docobo 被收购 b
- Deep Qualification90
⚠ 需要审查 — 该假设存在缺陷；Docobo 是远程患者监控的工具供应商，而不是医学影像数据的持有者。数据归其 NHS 客户所有，且高度敏感。[业务模式 = 工具供应商；数据归公司客户所有；数据集类型与实际活动不符：目标公司的核心业务是通过其 DOC@HOME 平台进行远程患者监控（生命体征、症状、ECG 波形），而不是医学影像（例如，X 光、CT 扫描）。[2, 3, 11]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Medical records / imaging
这是核心证据，证明这些图像来源于集成的纵向患者记录，这些记录结合了医院和全科医生的数据，提供了训练高性能诊断模型所必需的丰富临床背景。
Event streams
证据表明公司有能力处理来自全科医生诊所的实时临床数据流，这是开发动态诊断或患者监控 AI 工具的宝贵资产。
Public datasets
这表明公司在处理 CPRD 等大规模、全国性的英国初级保健数据集方面拥有经验，证明了其在驾驭英国复杂医疗数据生态系统方面的核心能力。
IoT / sensor data
Docobo 处理来自远程患者监控的高量数据，表明可以访问数百万次测量，这些测量可以为影像数据提供有价值的时间上下文。
Data-volume signal
该平台连接了超过 80 万人的数据，证明了训练和验证能够跨不同人群进行泛化的 AI 模型所需的显著规模。
Downloads / exports
这些文件证实了公司在创建共享护理记录方面的战略重点，这是统一不同数据源并为该综合数据集奠定基础的机制。
Marketplace
Dataset details
Geographic coverage
UK
Time range
Longitudinal (specific start/end dates not provided, but implies historical and ongoing)
Update frequency
Real-time
Delivery
Likely API or secure data transfer due to PII and complexi
License
One-time license for development and validation of diagnostic AI models, subject to strict data governance and usage restrictions.
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 dataset's value is driven by its unique integration of medical imaging with longitudinal patient records and real-time IoT data, crucial for high-precision diagnostic AI. The strong market demand, evidenced by the significant growth in AI in medical imaging, supports a premium valuation.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Docobo Medical Imaging — a Large medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI in Medical Imaging market was estimated at USD 1.8 billion in 2025, with a projected CAGR of 35.11% (2026-2033) (source: Grand View Research). [1]. Investment score 48.0/100 (confidence 0.76). Recommended action: Data Sharing Agreement.
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