Smart Healthcare

Stardust offers data annotation services tailored for medical imaging analysis, medical text processing, and training intelligent diagnostic systems. This includes entity extraction, relationship extraction, and semantic understanding of medical texts; lesion annotation, organ segmentation, disease classification, and pathological grading in medical imaging. We supply high-quality data for clinical decision-making and diagnostic algorithms.

We can annotate drug information, including drug names, ingredients, indications, contraindications, side effects, dosages, drug pricing, and drug interactions. By building a medical knowledge base, we aid physicians and patients in understanding drug characteristics and usage guidelines.

We can annotate entities, relationships, and terms in medical records, such as patient name, gender, age, disease name, and examination items. Through multi-level annotations, systems can accurately identify and extract key information from medical records.

Leveraging Stardust COSMO data pyramid solution for large language models (LLMs) and our extensive experience in AI medical annotation, we offer medical institutions the required datasets, data annotation, knowledge base construction, and model training services for large language models in healthcare. We address challenges like intelligent Q&A, multi-turn dialogue, and sequential consultations, advancing the intelligent evolution in the healthcare sector.

We provide data annotation services for daily health monitoring wearables tracking heart rate, blood pressure, blood oxygen levels, sleep, and physical activity. This encompasses sequential annotations, abnormal data annotations, and data classification, enhancing the ability of the device to analyze and predict users' health status.