Comprehensive Medical Data Collection for AI-Driven Healthcare Solutions

This case study from GTS AI details the meticulous process of collecting and annotating a vast medical dataset to support AI applications in healthcare. The project encompassed over 325,000 data points, including Electronic Health Records (EHRs), medical images, patient intake forms, laboratory test results, and clinical trial data. A rigorous annotation process resulted in 1.25 million data annotations, ensuring high-quality, structured datasets for machine learning models. The project adhered to ethical standards and compliance regulations, including HIPAA and GDPR, to safeguard patient privacy. This comprehensive dataset serves as a valuable resource for advancing AI research and development in the healthcare sector.