Dataset opportunity
Learnivf — 医疗影像数据集机会
Learnivf 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)
全球诊断人工智能市场在 2025 年的估值为 70.3 亿美元，预计复合年增长率为 46.06%（2026-2034 年）。
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.
Profile
Dataset profile
Type
医疗影像数据集
Modality
图像
Sector
医疗保健
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
医疗人工智能与诊断影像公司
Learnivf 持有一个专注于体外受精（IVF）的专业医疗影像数据集，包含高分辨率的图像集，并链接到相应的医疗记录。这些结构化数据得到了监管文件的支持，非常适合用于训练和验证旨在改善生殖医学领域治疗效果的诊断人工智能算法，因为在该领域，高质量、特定的数据具有显著的分析优势。
诊断人工智能的全球市场在 2025 年的估值为70.3 亿美元，预计将以惊人的 46.06% 的复合年增长率增长。[3] 尽管存在涉及GDPR、敏感个人身份信息 (PII) 和临床治理的访问复杂性，但该数据集的临床深度和稀有性提供了一个独特的机会。对于人工智能开发者来说，克服这些障碍是一项战略投资，可以获取独特的数据资产并利用这个高增长的市场。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据集包含高度敏感的医疗信息（PII 和健康记录），受严格的 GDPR 和意大利健康法规管辖；数据所有权主要由临床实体 CFA（Centro Fecondazione Assistita）持有；访问需要通过临床研究伦理委员会和患者同意框架。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了持有者拥有一个大规模的专有人类生育医疗影像数据集，该数据集来自每年超过 1200 个 IVF 周期，并获得了欧洲监管部门的授权。这一独特的数据集对于开发快速扩张的诊断人工智能市场中的诊断工具的医疗人工智能公司至关重要，该市场预计每年增长超过 46%。该数据的高质量，体现在其用于高级临床培训，为构建和验证下一代生育人工智能模型提供了显著的竞争优势。
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 Freshness46
定期
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 Demand95
买家需求异常高，这得益于诊断人工智能市场的爆炸式增长，预计复合年增长率为 46.06%。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/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 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 Orientation56
2 个数据需求信号（2 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；它是意大利最大的 IVF 诊所的培训学院，作为其核心业务（销售高价值培训课程，而非数据或软件）的副产品，生成独特、专有的医疗和影像数据。[1, 3, 6] 问题：数据是高度敏感的人类医疗数据（配子/胚胎图像、患者结果），将受到严格的 GDPR 和道德约束；该实体是培训学院（LearnIVF）和临床中心（CFA）的结合体，可能使数据的所有权和权利复杂化。[3]
- Deep Qualification90
⚠ 需要审查 — LearnIVF 是 CFA IVF 诊所的培训和研究品牌。它作为副产品持有有价值的影像和临床数据，但所有权归属于临床实体（CFA），并因其医疗性质和 GDPR 而受到严格限制。[数据归公司客户所有]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Medical records / imaging
这些证据证实了一个高容量的临床来源，每年进行超过 1200 个 IVF 周期，提供了训练强大的诊断人工智能所需的真实世界纵向数据的规模。
Image collection
这表明存在一个专门的高质量胚胎和卵母细胞图像集，该图像集经过精心策划，用于高级临床培训，非常适合开发和验证精确的人工智能模型。
Regulatory records
这证实了作为组织机构的官方欧洲监管授权，这是降低数据获取风险的关键验证，并确保了医疗人工智能领域买家的合规性。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Learnivf Medical Imaging — a Moderate medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI in Diagnostics market was valued at $7.03 billion in 2025, projected to grow at a CAGR of 46.06% (2026-2034) (source: Fortune Business Insights). [3]. Investment score 68.6/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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