Healthcare AI Data & Clinical Expertise — Frequently Asked Questions
Answers to common questions about SCILabel datasets, sourcing, annotation, clinical review and AI evaluation.
Working with SCILabel
Project requirements vary, so final scope, availability, timelines and commercial terms are confirmed for each engagement.
What data does SCILabel work with?
Medical imaging, digital pathology, physiological signals, clinical text, audio, video, biomedical, genomics, pharmaceutical, research and veterinary data.
Can SCILabel source custom datasets?
Yes. Custom sourcing can be scoped around modality, geography, clinical characteristics, formats, metadata and other requirements.
Can you annotate client-owned data?
Yes. SCILabel supports annotation and clinical QA for appropriately provided client datasets.
Do all datasets have the same license?
No. Dataset rights, provenance, permitted uses and commercial terms can vary and should be confirmed for the specific dataset.
Do you provide clinical review?
Projects can include healthcare professionals or domain reviewers matched to the task and required expertise.
Can SCILabel evaluate clinical AI?
Yes. Evaluation can include model-performance review, clinical LLM evaluation, safety testing and expert assessment depending on the project.
Build your healthcare AI data workflow with SCILabel
Talk to our team about your healthcare data, annotation or AI evaluation requirements.