An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Autonomous, LLM-native SOC unifying IDS, SIEM, and SOC to eliminate Tier 1 and Tier 2 operations in OT and critical ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

“Overall, this study further demonstrates the utility of high-content morphological analysis as a tool for the identification of senescent cells.” “Overall, this study further demonstrates the utility ...

A study was conducted to examine the predictive performance of an AI ECG algorithm for identifying occlusive myocardial infarction. False-positive alerts for STEMI in the ED may be reduced with use of ...

OpenAI last week unveiled two new free-to-download tools that are supposed to make it easier for businesses to construct guardrails around the prompts users feed AI models and the outputs those ...

Introduction: Current STEMI alert pathways triggered in the emergency department often result in high false-positive rates and frequent cancellations by cardiology. AI-based ECG analysis may improve ...

Objective: This study aimed to develop and validate interpretable machine learning (ML) models based on multi-dimensional fusion data for predicting positive surgical margins (PSM) in robot-assisted ...

Explainable machine learning (ML) is important for biosignature prediction on future astrobiology missions to minimize the risk of false positives due to geochemical biotic mimicry and false negatives ...