Dataset opportunity
Fundamentalvr — 医疗影像数据集机会
Fundamentalvr 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
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
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 = 2024 年为 17.1 亿美元，复合年增长率为 22.5%。
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
混合所有权 — 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
FundamentalVR 拥有其先进手术模拟平台生成的独特医疗影像数据集。该集合整合了原始图像集数据与来自触觉设备的情境物联网数据以及基于绩效的医疗记录，提供了一个多层次的资源，非常适合开发和验证需要不仅仅是静态图像的复杂诊断人工智能算法。
商业价值巨大，位于全球医疗诊断人工智能市场内，该市场在 2024 年的估值为 17.1 亿美元，预计将以 22.5% 的复合年增长率增长。[1] 虽然存在访问复杂性，例如与合作伙伴共享数据所有权、绩效数据的 GDPR 合规性以及专有数据格式，但该数据集无与伦比的丰富性和稀有性为旨在引领这一高增长领域的买家提供了独特的战略优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据所有权可能与医疗设备合作伙伴和医疗机构共享；包含需要 GDPR 合规的敏感专业绩效数据；数据存储在专有的 HapticVR 引擎和遥测格式中。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Fundamentalvr 拥有一个大规模的专有数据集，该数据集来自200 多个医疗机构超过 500,000 小时的虚拟手术培训。该集合独特地结合了手术过程的高保真数字孪生与实时外科医生绩效数据，为开发下一代诊断人工智能创造了宝贵的资源。对于快速扩张的 17.1 亿美元医疗诊断人工智能市场的公司而言，该数据集提供了一个难得的机会，可以在通常无法获得的复杂过程数据上训练模型。
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 Demand85
买家对高质量、多模态医疗数据的需求非常强劲，这得益于医疗诊断人工智能市场的快速扩张，复合年增长率为 22.5%。[1]
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 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. - 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 — 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 — 尽管该公司拥有有价值的专有手术培训数据，但其核心业务是销售人工智能驱动的 SaaS 平台，并将分析和数据洞察作为产品，使其成为竞争对手，而不是休眠数据的来源。问题：该公司的核心产品是销售情报/人工智能软件，这是一个明确的排除标准。[3, 5, 16]；它被自我描述为“技术和数据洞察业务”，表明数据不是休眠的副产品。[2]；该公司积极向客户销售“绩效分析仪表板”和“分析与能力评估服务”。[3]；2024 年的一份新闻稿证实，他们利用人工智能和遥测数据为客户“提供有价值的洞察”，作为其业务的关键部分。[16]
- Deep Qualification70
✓ 通过 — FundamentalVR 是手术培训模拟的 SaaS 提供商。数据是平台使用产生的副产品，非常有价值，但所有权复杂，可能与机构客户（梅奥诊所等）共享，并受 GDPR 管辖，这使得第三方转售复杂化。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
该数据集包括来自专利 HapticVR 引擎的实时遥测数据，捕获外科医生手势和力反馈，这对于开发评估手术技能和效率的人工智能至关重要。
Medical records / imaging
这代表了来自数百家医疗机构超过 500,000 小时培训的海量绩效数据，提供了训练稳健的诊断人工智能模型所需的规模和多样性，并减少了机构偏见。
Image collection
该集合包含泌尿外科和眼科等专业的器官和虚拟手术室的高保真数字孪生，提供了解剖学上精确的视觉数据，这对于训练和验证图像识别算法至关重要。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Fundamentalvr 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 = $1.71 billion in 2024, CAGR 22.5% (source: MarketsandMarkets™). Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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