Covers 2,000 groups / 10,000+ genuine medical examination report data. Covers multi-dimensional structured data such as tests, diagnostic findings, historical comparisons, and strict de-identification de-marking.
4 main categories
Core data type
100%
De-sensitization to mark.
5 Years
Data on continuous visits
50%+
Historical contrast changes
To gain a comprehensive understanding of the composition and core features of this data set and provide a high-quality medical data base for AI training and academic research.
The full medical examination report, originally the PDF, contains the results of the examination by the section, the indicator values, the reference range and the abnormality mark.
Structured data on laboratory results, such as blood, urine, biochemical completes, tumor markers, genetic tests, etc.
The extraction and structure of core clinical judgement data such as the main examination report, positive findings, medical examination recommendations, diagnosis of diseases, etc.
Comparison of medical data for the same patient for several years (up to five years) supports the tracking of disease progress and health trend analysis.
The data sets are carefully screened and matched to ensure that the dimensions are comprehensive and distributed in a balanced manner to meet the needs of diverse model training.
& lt; 18 years
10%
18-30
20%
30-40
30%
40-60
30%
> 60 years
10%
Tumor Markers
AFP/CEA/CA series, etc.
Genetic screening, etc.
Molybdenum targeting.
Breast screening
Image Check
Ultrasound/CT/DR etc.
This data set is legally authorized for the following three core scenarios.
The rich data on the distribution of anomalies and historical comparisons help models to learn how to diagnose diseases.
Training and validation of AIS-assisted diagnostic system, which covers a variety of image-modules, including ultrasound, CT, DR, molybdenum targets, etc., are provided in conjunction with video-checking data and clinical findings from medical examination reports.
Five years of vertical tracking data support time series analysis and causal extrapolation.
Data are legally sourced, subject to clear tenure, are processed in a de-identified manner and are strictly in accordance with the requirements of national laws and regulations.
| Dataset Name | Customize medical examination report data sets |
| Nature of License | Non-Exclusive License |
| License Term | May 6, 2026 — May 1, 2027 |
| Data Holder | Third People's Hospital, Sansawa. |
| Operator | Changsha Langhui Information Technology Co., Ltd. |
| Scope of License | Collection, desensitization, processing, structuring, storage, use |
All the way to de-sensitize to mark.
Not including name, ID number, telephone, case number, medical examination number, etc.
Legal Compliance Assurance
Strict compliance with regulations such as the Personal Information Protection Act, the Management of Cybersecurity in Health Institutions
Sublicensing Prohibited
The data must not be sublicensed, resold, disclosed or shared with any unauthorized third party
Clear Ownership
The licensor guarantees that the data sources are lawful, ownership is clear and free of defects in title, and that legal usage rights have been obtained