Dataset opportunity
Icentia — 医学影像数据集机会
Icentia 持有的中等规模医学影像数据集，可用于诊断人工智能和计算机视觉。
Score
66.9
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)
全球心脏病学人工智能市场在 2025 年的估值为 17 亿美元，预计到 2033 年将达到 148 亿美元，复合年增长率为 31.2%（2026-2033）（来源：Grand View Research）。[1]
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.
- 🧑💻Hiring a data role
医疗信号处理领域研发和人工智能相关职位的招聘
source ↗
Profile
Dataset profile
Type
医学影像数据集
Modality
图像
Sector
医疗保健
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
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
Icentia 拥有一份庞大的医学影像数据集，包含连续的心电图（ECG）波形。这些数据通过其专有的 CardioSTAT 便携式物联网监测硬件独特生成，确保了高产量、一致且稀有的信息来源，并与患者病历相关联。该数据集的结构和专有来源使其在开发和验证用于心脏心律失常检测的高性能诊断人工智能算法方面具有极高的价值。
全球心脏病学人工智能市场在 2025 年的估值为 17 亿美元，预计将以惊人的 31.2% 的复合年增长率增长。[1] 这种爆炸式增长凸显了对专业心脏数据的强烈需求。尽管存在严格的 HIPAA/GDPR 合规性以及需要验证患者二次使用同意等重大访问复杂性，但该数据集的稀有性和高保真度对于旨在抢占这个148 亿美元预期市场份额的人工智能开发者来说，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）：高度敏感的医疗数据，需要严格遵守 HIPAA/GDPR 合规性；数据通过专有医疗硬件（CardioSTAT）生成；必须验证患者二次使用数据的同意；公司已提供人工智能驱动的分析，表明内部数据价值意识 · 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 Icentia 拥有一份庞大的专有数据集，包含来自 11,000 名患者的超过 20 亿次专家标注的心跳。这些临床级数据是构建下一代诊断人工智能以检测心脏心律失常的公司的基础资产。在全球心脏病学人工智能市场预计到 2033 年将超过 140 亿美元之际，这份稀有、高产量的א数据集为开发和验证高度准确的算法提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity78
主导的“病历”，医疗保健行业，2 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 Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume68
3 个证据点，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 Value74
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 Demand92
买家需求异常高，这得益于快速扩张的心脏病学人工智能市场，该市场预计复合年增长率为 31.2%，从而产生了对专有、高质量心电图数据以训练诊断模型的迫切需求。[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
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 个点
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=已拥有，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 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 — 专有数据超出已货币化部分
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 Audit92
✓ 良好目标 — Icentia 是一个不错的目标，因为它是中小企业，其核心业务是医疗设备（CardioSTAT）和相关的患者特定诊断服务，而不是销售数据或人工智能软件；所产生的海量心电图数据集是一个有价值的、休眠的副产品。问题：该公司提供“心电图数据分析服务”和用于分析的“专有软件”。[9, 10] 这表明他们已经在货币化派生智能；Icentia 曾向 p 捐赠了大量匿名数据集
- Deep Qualification90
⚠ 需要审查 — Icentia 提供医疗设备和相关的分析服务，它不将数据作为核心产品出售。数据受到严格限制，“医学影像”标签不准确，因为它们处理的是心电图信号。 [许可受限；数据集类型与实际活动不符：该机会被标记为“医学影像数据集”，但该公司的产品 CardioSTAT 记录的是心电图（ECG）波形，这是电信号，而不是医学图像。[10, 14]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/YFH5N9qBZGW-Y_l2Gqcqrx0T--tJdvs_aoSzUrLIauc/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9LMUpZOUQuanBn.webp" /></div></figure><p>The healthcare sector wants the HHS to coordinate its AI strategy across agencies, provide implementation and governance support, and offer help in evaluating AI tools, leaders said Thursday.</p>”
- “<p>J&J is working to expand use of Shockwave’s technology as competition in intravascular lithotripsy builds from companies like Boston Scientific and Stryker.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/QdTf47GP9EuyFy_5Jv46SYrcdbR33WXI-WOvf5y3smA/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS94X3JheV9wbmV1bW90aG9yYXguanBn.webp" /></div></figure><p>Aidoc is working on an artificial intelligence feature that would analyze chest X-rays and generate preliminary reports for more than 100 findings.</p>”
Medical records / imaging
该数据集包含来自 11,000 名患者的记录，包括通过专有 CardioSTAT 设备捕获的 20 亿次标注心跳，提供了训练强大人工智能模型所需的规模和多样性。
IoT / sensor data
这包括每位患者长达 14 天的高质量连续心电图记录，提供了开发能够识别间歇性和细微心脏事件的算法所必需的长时程时间数据。
Data-volume signal
持有者拥有海量数据，包含数十亿次心跳以及专家级标注，为训练和验证针对广泛心脏心律失常的人工智能模型创建了明确的地面实况资源。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
JSON (metadata)
License
One-time license for development and validation of diagnostic AI algorithms for cardiac arrhythmia detection.
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-volume medical imaging dataset of expert-annotated heartbeats is exceptionally valuable for diagnostic AI in cardiology, a rapidly growing market. Its rarity, clinical-grade quality, and scale justify a premium valuation.
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Icentia Medical Imaging — a Moderate medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI in Cardiology market was valued at USD 1.7 billion in 2025, projected to reach USD 14.8 billion by 2033, at a CAGR of 31.2% (2026-2033) (source: Grand View Research). [1]. Investment score 66.9/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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