Feeding AI with structured data
Ai and medical data coding
Artificial intelligence is transforming healthcare, but its reliability depends entirely on the quality of the training data. At TELOS-C, we design and prepare high-quality, precisely coded medical databases to power AI models with semantic accuracy, consistency, and clinical relevance.
From raw data to AI-ready datasets
Building Smart,
Structured Foundations
We assess and curate data sources to ensure they are complete, standardized, and compliant with medical coding standards such as MedDRA, WHODrug, and SNOMED CT.
Every data point is meticulously coded and annotated, laying the groundwork for AI systems to detect meaningful clinical patterns.
Collaborative and tailored coding strategies
Partnering with AI Teams
TELOS-C works hand-in-hand with sponsors, data scientists, and AI developers to align dataset design with project goals.
This co-creation model ensures that the database structure fits seamlessly into AI workflows, boosting algorithm efficiency and training accuracy.
No shortcuts with quality
The "Garbage In, Garbage Out" Principle
AI systems are only as good as the data they learn from.
By delivering accurately coded, well-documented, and regularly updated medical datasets, TELOS-C ensures optimal AI performance and trustworthy outputs for healthcare innovations.