Big data is fueling innovation in healthcare
Real-world medical data are the cornerstone of AI innovation in healthcare. We harness the power of data responsibly and ensure its integrity and privacy so we can develop groundbreaking AI solutions that transform healthcare.
Sourcing from all five continents: Access to comprehensive health data is essential for advancing AI in healthcare. Siemens Healthineers meticulously gathers datasets from all five continents that encompasses a diverse range of sources, including public clinical registries, medical associations, and trusted research partners. These datasets contain a wealth of information, including clinical images, lab data, genomic data, and clinical data like patient histories.
Protecting patient privacy: Siemens Healthineers adheres to stringent data privacy principles to ensure that patient information remains secure and protected. Before data is used in research projects, it undergoes a rigorous anonymization process to remove all personally identifiable information. This safeguards patient privacy while enabling valuable research advances.
Enhancing data quality: AI applications are fundamentally dependent on the quality of the data they’re fed. Our experts thoroughly examine each data point, enriching it with additional information like anatomical landmarks, diagnostic indicators, and tumor characterizations. These annotations are crucial for developing accurate and reliable AI models that can transform healthcare.