The global medical image management market is projected to grow at a rate of 7-8% by 2027. This growth is primarily driven by the increasing volume of imaging procedures, rapid advancements in ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

This project provides a powerful and flexible PDF analysis microservice built with Clean Architecture principles. The service enables OCR, segmentation, and classification of different parts of PDF ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

President Donald Trump’s 2024 victory rested on support from voters who are less engaged with politics, an assessment of the election based on newly available voter file data confirms, as Democratic ...

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 ...

Have you ever stared at a massive PDF—maybe a dense financial report or a competitor’s quarterly analysis—and thought, There has to be an easier way to make sense of all this? You’re not alone.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Contextual evaluation is also helpful for analyzing the usage ...

Multi-stage cyber attacks, characterized by their complex execution chains, are designed to avoid detection and trick victims into a false sense of security. Knowing how they operate is the first step ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...