Validation of an Updated Algorithm to Identify Patients With Incident Non–Small Cell Lung Cancer in Administrative Claims Databases Although the potential transformative effect of electronic health ...

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 ...

A multidisciplinary team at UT Southwestern Medical Center has developed an AI-enabled pipeline that can quickly and accurately extract relevant information from complex, free-text medical records.

The Ministry of Energy and Mineral Resources held a specialized two-day training workshop on methods for extracting data and ...

For years, businesses, governments, and researchers have struggled with a persistent problem: How to extract usable data from Portable Document Format (PDF) files. These digital documents serve as ...

To get data on the injuries, Cedars-Sinai is using AI to extract data from chart notes. At HIMSS25, Kathy Bailey, principal data intelligence analyst for Cedars-Sinai, will explain what she and her ...

Recently, AI researcher Simon Willison wanted to add up his charges from using a cloud service, but the payment values and dates he needed were scattered among a dozen separate emails. Inputting them ...

Have you ever stared at a massive spreadsheet, overwhelmed by the chaos of mixed data—names, IDs, codes—all crammed into single cells? It’s a common frustration for anyone managing large datasets in ...

A new computational tool helps researchers map molecular interactions, revealing the pathways associated with disease. Understanding how molecules interact inside our cells is key to uncovering how ...