Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Background Aortic stenosis (AS) frequently coexists with heart failure (HF), but its prevalence, prognostic impact and management across the full HF spectrum remain incompletely characterised. Methods ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Data-Driven Decisions: The well-known “data-driven decisions” approach comes into play with alerts and hard data that make it ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Real-time data insights are transforming logistics performance, driving down costs and improving CO2 emissions management.
Prompts describe tasks. Rubrics define rules. Here’s how rubric-based prompting reduces hallucinations in search and content workflows.
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a ...