The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Objectives To examine if early adoption into a family with favourable home environment conditions reduces long term ...

DualEntry’s CFO unveils insights from testing 19 AI models on 101 accounting tasks to evaluate their accuracy and efficiency.

Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...

Background The high prevalence of atrial fibrillation (AF) and its association with cardiovascular (CV) outcomes represent a ...

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

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Large language models (LLMs) achieve high accuracy on final diagnosis but have poorer performance for generating differential diagnoses.