The medical AI domain focuses on imaging, clinical text and multimodal tasks. Biological AI serves life-science research. Both share task definition, permission checks, expert QC and data delivery methods.
Medical AI data services,from project scope to acceptance-ready delivery.
For hospitals, research institutions, and medical AI teams. We scope data provenance and permissions, organize targeted collection, define annotation protocols, coordinate expert review, and agree on quality checks and structured deliverables. Modality, sample size, licensing, deployment, and acceptance criteria are confirmed for each project.
What would you like to move forward? Choose a route to prefill the inquiry.
From data preparation to model evaluation: how we support medical AI projects
Combine data assets, directed collection, expert annotation, quality review, and evaluation around the project stage. Modality, sample scope, licensing, and acceptance criteria are confirmed in the data card, project plan, and contract.
01 / DATA
Data catalog and data cards
Find imaging, pathology, clinical-text, and multimodal data options by task. Review modality, fields, source notes, permitted use, de-identification requirements, and delivery format on the data card.
Define collection criteria, inclusion rules, fields, and source requirements for a target condition, device, or research task. Assess sample availability, permissions, and processing boundaries before confirming scope.
Turn the task into an executable protocol. Run a pilot, resolve questions, coordinate batch annotation and expert review; match imaging, pathology, clinical-text, or multimodal work to project needs.
Agree label definitions, sampling, dispute handling, and acceptance thresholds. Keep data versions and QC records, and document delivery criteria to reduce rework and ambiguity.
Discuss the use case, metrics, isolated test sets, and expert-scoring workflow. Use observed failure categories to inform follow-up data needs or re-evaluation plans.
Clarify the taskConfirm model objective, use case, modality, and expected outputs.
Review scope and permissionsAssess source, permitted use, de-identification, deployment, and data-flow boundaries.
Agree standards and pilotConfirm the annotation guide, pilot results, QC method, and acceptance criteria.
Execute and reviewRun collection or annotation in agreed batches, with expert review and issue resolution.
Accept and improveDeliver files and records against the data card and contract; discuss follow-up improvements.
From inquiry to data-card review
We do not sell “concept packs.” The public page only collects organization and task summaries; authorization materials and commercial terms exchange under NDA.
02 · Leave contactsName and task; provide a phone number or email
03 · Receive a referenceKeep your inquiry ID for follow-up
04 · One business dayData-card fields or scheduling notes
Common starts · Inquire prefills and scrolls to the form
Not sure which family? Submit the form and we will recommend by task. These cards are inquiry starting points. Availability status, verification date, and licensing scope are confirmed on the data card, not as warehouse stock on this page.
MED-CT
Lung nodule / chest CT training pack
Verify modality, label fields, expert review, and delivery format by task. Fit for detection and classification training.
Not the words “more samples”—contract-ready specs, QC, and license boundaries.
Physician final review
Labeling and dispute paths can be agreed; QC thresholds go into the data card and contract—not verbal promises.
De-id and authorization are checkable
Source authorization, de-id requirements, training use, and redistribution limits—procurement and legal can negotiate against materials.
Eval that feeds next-pack specs
When a private evaluation shows failure types, those findings can be written into the next data card or pilot scope. A public score is not a purchase gate, and buying data does not promise a higher score.
Prefer not to fill a form? Contact us directly
Luo Kun · GM / business contact. Contact us by phone, email, or WeChat.
You can browse first Public data-card structure sample. Scope of real data samples, de-identification, and NDA terms are confirmed per project.
Can we inquire without a full purchase spec yet?
Yes. Share the model task, modality, or target condition and we will scope samples, label fields, and acceptance criteria together.
Where does submitted info go?
Inquiries enter the LumeSage CRM and sync to the sales notification mailbox and DingTalk alerts so we can follow up within one business day. Not used for unrelated marketing.
How does it relate to Medical Model Eval and the dataset catalog?
This page is the Medical Expert Data entry: need datasets → data card; need pass/fail eval → Gate; find by anatomy/modality → Dataset catalog. All three paths land on the same inquiry channel.
Operating & contracting entity: Beijing Langhui Technology Co., Ltd. · brand LumeSage. Campus names in office addresses (incl. PKU Science Park), do not imply university endorsement.
This site is not a medical-device promotion and makes no clinical efficacy claims. Scale and license are per data card and contract.
Notice · Privacy · Compliance
From strategy to reviewable delivery
Assess capability through task fit, expert involvement and delivery records. Agree protocols and acceptance before scaling.