Companies struggle to fully develop AI in more than a handful of business functions or to accelerate the shift from pilots to ...

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is an open community data standard, designed to standardize the structure and content of observational data and to enable ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Payers face an intersecting set of pressures: controlling costs, improving clinical outcomes, complying with regulations, and demonstrating value to employers ...

Identify which data modeling tools are right for your business. Discover the top tools of 2022 now. Data modeling tools play an important role in business, representing how data flows through an ...

Knowledge Grid, the company defining the Cognitive Data Layer for AI, today announced a study showing an AI model's verdict ...

A data-centric framework that prioritizes clinical training observations using aggregated feature-level SHAP values improved classification performance across multiple benchmark datasets but increased ...

Data poisoning manipulates training, fine-tuning, evaluation, or retrieval data so an AI system learns corrupted behavior or produces attacker-chosen outcomes. This guide explains the mechanism, trade ...

A physics-guided deep learning model trained on five years of monitoring data from the 1,650-metre Xihoumen Bridge predicts ...

Researchers at IIT Guwahati have utilized high-resolution drone traffic data to create advanced models that analyze and ...