Request data-card and trial-delivery notes

Leave task and modalities—we prepare checkable Medical Expert Data materials. Scale and license follow the data card and contract.

HOSPITAL DATA & MEDICAL AI

Medical data projects: from governance to verifiable delivery

For hospitals, research teams and medical AI developers. We start by defining the task, data boundaries, quality rules and deliverables for data integration, research datasets, and model training or evaluation—then assess ingestion, annotation and collaboration options.

Multimodal data governance

Map CT, MR, radiography, ultrasound, pathology slides and report data; define field mappings and checks for missing, duplicate or linked records. PACS, HIS, EMR and CDR interfaces, image routing and in-hospital platforms require a separate review of the local environment.

Research and cohort data preparation

For disease-specific studies, longitudinal records, cohorts or eCRF requirements, define inclusion criteria, clinical variables, time points, structured fields and quality rules. A full EDC or research-management system, and integration with expense or finance platforms, require separately scoped work.

AI training and evaluation data

Translate model questions into case strata, annotation guidance, pilot calibration, expert review, blinded or agreement assessment, and sampling plans. Modalities and model applicability are confirmed against agreed examples.

Delivery and acceptance

Agree on data provenance and permissions, de-identification scope, least-necessary access, version traceability, export formats, quality reports and sampling-based acceptance. If data must remain on premises or deployment must be private, confirm architecture, operations and responsibilities first.

A practical project path

Define goals and use
Review data and permissions
Set standards; run a pilot
Expert review and QA
Accept and deliver to spec

Bring the project goal, data types, intended use, deployment constraints and acceptance criteria. We can first map the scope and a validation checklist.

Submit purchase brief

Within one business day: data-card field notes or a trial-delivery discussion. Do not submit identifiable patient data.

After submit you will receive

Inquiry ID (traceable)
Data-card fields / trial-delivery notes (by interest)
NDA and next scheduling when needed

Name Work email

Organization Phone (optional)

Any country: enter + and the full number, or use email instead.

Service of interest Organization type

Project requirements

More options (role / modality / NDA, optional)

Your role Modality or condition (summary) Deploy preference Preferred timeline NDA first?

Browse datasets Privacy

By submitting, you agree Beijing Langhui Technology Co., Ltd. may process the contact details you entered to reply. See Privacy & Compliance.
Contracting entity: Beijing Langhui Technology Co., Ltd. (brand LumeSage).

Operating & contracting entity: Beijing Langhui Technology Co., Ltd. · brand LumeSage. Campus names in addresses do not imply university endorsement. This site is not a medical-device promotion and makes no clinical-efficacy claims; scale and license follow the data card and contract. More:Notice · Privacy · IP

BIOLOGICAL AI + MEDICAL AI

Choose biological AI or medical AI and describe your task, existing data or expert support needs. Share only a project overview here; do not submit patient details, raw omics files or unpublished experimental materials.

Biological AI → Medical AI →