Dataset opportunity
Sensius — Medical Imaging Dataset Opportunity
Moderate medical imaging dataset held by Sensius, usable for Diagnostic AI and Computer Vision.
Score
63.9
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
Data Sharing Agreement
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)
Global AI in Medical Imaging market size is estimated at $1.70 Billion in 2024, growing at a CAGR of 25.8% (2025-2034).
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
Medical Imaging Dataset
Modality
Image
Sector
healthcare
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
Medical-AI & diagnostic-imaging companies
Sensius provides a unique Medical Imaging Dataset derived from its thermal therapy systems for oncology. The data integrates images with corresponding `iot_data` from the medical devices and `medical_records`, creating a multi-modal and high-value resource for training Diagnostic AI models. The dataset's strength lies in its direct linkage to clinical treatment parameters and outcomes from partners like Erasmus MC.
The global market for AI in Medical Imaging is a rapidly expanding sector, valued at $1.70 Billion in 2024 and projected to grow at a remarkable CAGR of 25.8%. [3] Although access to this data is complex due to its sensitive nature under MDR/GDPR frameworks and shared ownership structures, its rarity and direct relevance to the high-growth oncology diagnostics field make it an extremely valuable asset for AI developers seeking clinically validated data. ⚠ Diligence (valuable data, access to negotiate): Data is highly sensitive medical information (oncology).; Ownership is likely shared with clinical partners like Erasmus MC.; Company is in pre-commercial phase, focusing on clinical validation.; Access requires navigating strict healthcare regulatory frameworks (MDR/GDPR). · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Evidence confirms Sensius possesses a proprietary dataset of medical images from over 70 head and neck cancer patients, originating from clinical treatments at a major European medical center. This rare, real-world data, uniquely combined with associated sensor feedback and system performance logs, represents a critical asset for developing and validating next-generation diagnostic AI. For medical-AI firms, this dataset offers a distinct advantage to build and refine treatment-focused algorithms in a market projected to grow at over 25% annually.
See dimension details ↓- Dataset Specificity90
dominant 'medical_records', sector healthcare, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Diagnostic AI
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
Buyer demand for clinically validated oncology imaging data is extremely high, driven by the AI in Medical Imaging market's rapid growth, which is projected to expand at a 25.8% CAGR. [3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
high difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 evidence types, 3 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
ownership=mixed, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 data-appetite signals (0 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
surplus=medium — proprietary data beyond what's already monetised
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
✓ good target — The company develops and manufactures medical thermotherapy devices for cancer treatment; the clinical and operational data generated by these devices is a high-value, dormant by-product, making it an ideal target. Issues: Data ownership is a potential issue, as the data is generated at third-party clinical sites (hospitals), which would require a partnership to access and commerc; The company's products are still in development, with a market launch aimed for 2025, which may affect the immediate availability of large datasets. [9]
- Deep Qualification80
⚠ needs review — Sensius is a pre-commercial medical device company developing a thermotherapy system. The data is a byproduct of clinical trials conducted with partners like Erasmus MC, which likely owns or co-owns the data, severely restricting any resale rights. The opportunity to acquire a ready-to-use dataset is low. [licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Medical records / imaging
The dataset includes medical images from over 70 patients treated for Head and Neck Cancer at Erasmus MC, providing a rare, clinically-grounded foundation for training specialized diagnostic AI.
IoT / sensor data
The collection contains time-series sensor data capturing real-time feedback and therapist adjustments during treatment, offering invaluable context for developing predictive models of treatment efficacy.
Industrial data
The dataset is enriched with time-series system performance data from the patented microwave technology, enabling AI models to correlate device control parameters with treatment outcomes.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Sensius 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 size is estimated at $1.70 Billion in 2024, growing at a CAGR of 25.8% (2025-2034) (source: Market.us). [3]. Investment score 63.9/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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