Dataset opportunity
Quantumsurgical — Medical Imaging Dataset Opportunity
Large medical imaging dataset held by Quantumsurgical, usable for Diagnostic AI and Computer Vision.
Score
73.5
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
71%
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
Global AI-based medical imaging market = $3.28B in 2024, CAGR 45.68% (2025-2033)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
Can surgical robots fly? SS Innovations discusses challenges, solutions
therobotreport.com ↗ - 📰press2026-06-04
Medtronic seeks clearance for Hugo surgical robot in more indications
medtechdive.com ↗ - 📰press2026-06-02
Petal Surgical adds more funding for incisionless surgical robot
therobotreport.com ↗
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.
- ✨Signal
Explicit Health Data Warehouse (HYGIE) for research and robot improvement
source ↗
Profile
Dataset profile
Type
Medical Imaging Dataset
Modality
Image
Sector
healthcare
Volume
Large
Freshness
Real-time
Rarity
Medium
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Medical-AI & diagnostic-imaging companies
Quantumsurgical holds a Medical Imaging Dataset (Image modality) encompassing data from various sources like data_catalog, downloads, image_collection, iot_data, and medical_records. This rich and diverse dataset is highly valuable for training and validating Diagnostic AI models, enabling the development of algorithms for tasks such as disease detection, image segmentation, and anomaly identification. The comprehensive nature of the data, including patient records, enhances its utility for creating sophisticated AI solutions that can improve diagnostic accuracy and treatment planning.
The AI-based medical imaging market is experiencing rapid growth, valued at USD 3.28 billion in 2024 and projected to reach USD 96.82 billion by 2033, with a CAGR of 45.68% from 2025 to 2033. This significant market expansion underscores the immense demand for high-quality medical imaging data to fuel AI development, driven by the need to address radiologist shortages and enhance diagnostic precision. Despite the complexities of GDPR compliance and data governance for this health-related and pseudonymized data, and potential involvement of Precision IO Group Inc. in licensing decisions, the rarity and critical importance of such datasets for advancing Diagnostic AI make it exceptionally valuable. ⚠ Diligence (valuable data, access to negotiate): Data is health-related and pseudonymized, requiring strict GDPR compliance and data governance.; Decision-making for data licensing may involve the parent company, Precision IO Group Inc. · corporate: subsidiary of Precision IO Group Inc..
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Quantumsurgical possesses a robust collection of pseudonymized medical imaging data directly linked to robotic-assisted interventional radiology procedures, particularly for tumor treatment and characterization. This dataset is exceptionally well-suited for Diagnostic AI development, offering medical-AI and diagnostic-imaging companies a critical resource to innovate within the rapidly expanding global AI-based medical imaging market, valued at $3.28B in 2024 with a 45.68% CAGR. The data's origin from advanced robotic systems and its secure storage within a regulatory-approved health data warehouse ensure both its technical depth and compliance, presenting a compelling opportunity for immediate evaluation.
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 Rarity58
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume88
9 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 Demand95
The global AI in medical imaging market, which is driven by the need for medical imaging datasets for diagnostic AI, is projected to grow from approximately USD 1.75 billion in 2024 to USD 8.56 billion by 2030, exhibiting a Compound Annual
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility33
medium difficulty, subsidiary of Precision IO Group Inc.
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength98
5 evidence types, 9 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License62
ownership=owned, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of Precision IO Group Inc.
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 3 recent external signals — 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 — Quantum Surgical is an excellent target as they are an SME with a real operational business in medical robotics, generating valuable proprietary medical imaging data as a by-product, which they currently use for internal research and product improvement, not for sale.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Medical records / imaging
This crucial evidence confirms the existence of pseudonymized health data, including detailed information on organ treated, lesion characteristics, and intervention types, directly from interventional radiology procedures using their award-winning Epione robot. This data is highly relevant for training Diagnostic AI models focused on tumor analysis and treatment outcomes.
Downloads / exports
This evidence confirms Quantumsurgical's public documentation on robotic-assistance for percutaneous musculoskeletal procedures, indicating their expertise and technological focus in interventional medicine, which provides valuable technological context for the collected data.
IoT / sensor data
This evidence indicates the collection of time-series data generated by the Epione robot during procedures, integrated with patient medical files within a central health data warehouse. This offers unique insights into procedural dynamics and robot performance, complementing diagnostic imaging for comprehensive AI solutions.
Image collection
This evidence explicitly details the collection of 2D and 3D images (likely CT scans) used by the Epione system for tumor margin definition and procedure planning. This directly supports the development of Diagnostic AI for precise oncology applications and image-guided interventions.
Data catalog / marketplace
This evidence confirms the operation of HYGIE, a regulatory-approved health data warehouse (CNIL Decision DT2023-015), which centralizes various data types. This demonstrates Quantumsurgical's commitment to data governance and compliance, significantly de-risking data acquisition for AI buyers.
Coverage
Scanned sources
Deliverable
Premium dataset report
Quantumsurgical Medical Imaging — a Large medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI-based medical imaging market = $3.28B in 2024, CAGR 45.68% (2025-2033). Investment score 73.5/100 (confidence 0.71). Recommended action: Data Sharing Agreement.