Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

One American dies every 34 seconds from cardiovascular disease, making it the single deadliest condition in the country for ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Introduction Atrial fibrillation (AF), with a prevalence of 1–2%, is the most common cardiac arrhythmia. AF is associated with a fivefold increased risk of cardioembolic events; approximately 20% of ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...