Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

UNOOSA/UNU-INWEH/CEOS Training On EO For Resilience and Humanitarian Aid the United Nations University- Institute for Water, ...

When you’re staring down a deadline for a big research paper, the idea of getting some AI help sounds pretty good, right? Samwell.ai is one of those tools that aims to make the whole process less ...

A session focusing on chemometrics for food quality control and authentication will take place on March 25, 2026, from 15:00 ...

IntroductionOn March 1, 2026, ThreatLabz observed new activity from a China-nexus threat actor targeting countries in the Persian Gulf region. The activity took place within the first 24 hours of the ...

Introduction Traditional data extraction strategies, such as human double extraction, are both time consuming and labour-intensive. Artificial intelligence (AI) has emerged as a promising tool for ...

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Introduction: Utilization of large language models (LLMs) for named entity recognition from free-text medical reports is rapidly expanding. However, concerns about protected health information (PHI) ...

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...