For automated capture of end points, aims were to (1) develop and test methods to collect end point–defining image files for patients participating in clinical trials, (2) develop a data model and ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

Without data on Social Drivers of Health, there can be no intervention, measurement or improvement. In 1624, poet John Donne wrote that gold bullion must be “coined into current money” to be of use.

What if you could seamlessly integrate a powerful command-line tool with a server designed to handle complex data extraction workflows? Imagine automating the collection of structured data from ...

Information is the new oil, and fast data extraction sets leaders apart. As web data grows rapidly, practical tools are needed to extract this information. Traditional web scraping methods often ...

Although the potential transformative effect of electronic health record (EHR) data on clinical research in adult patient populations has been very extensively discussed, the effect on pediatric ...

Optical Character Recognition (OCR) technology has significantly advanced data extraction by converting printed text into ...

AI development mirrors historical patterns of extraction. The authors draw on scholarship describing data colonialism, a process in which data from individuals and communities are harvested, ...