Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in GPS ...

Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

Syniti announces Syniti Match release for efficient, AI-driven data matching Your email has been sent On October 19th, Syniti, the global enterprise data management solutions provider, announced an ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Accurate linking of an individual's medical records from disparate sources within and between health systems, known as patient matching, plays a critical role in patient safety and quality of care, ...

Safe and Responsible Use of Artificial Intelligence in Health Care: Current Regulatory Landscape and Considerations for Regulatory Policy A comprehensive search was conducted in PubMed, Web of Science ...