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 ...
Conclusions This study suggests that a decrease in positive leadership behaviours has a hazardous effect on workers’ level of ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, ...
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 ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Prompts describe tasks. Rubrics define rules. Here’s how rubric-based prompting reduces hallucinations in search and content workflows.
The OWASP Top 10 for Agentic Applications 2026 is designed to remain relevant as agent frameworks, tooling, and deployment ...
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