Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

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

For the last three years, the world has obsessed over generative AI that can write and create. By the end of 2026, we'll see ...

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 ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Valve revealed its next batch of at-home hardware on Wednesday, including a new take on the Steam Machine, a gaming PC that's intended to be used like a console. Also revealed were the Steam Frame, ...

Bitcoin (BTC) surged nearly 5% early Monday, November 10, climbing back above $106,000 after briefly plunging below $100,000 last week. The uptick came as investors rushed to “buy the dip” following a ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...

ICU patient monitoring forms the foundation for AI models to predict which sepsis patients will benefit from corticosteroid therapy, enabling personalized treatment decisions. Sepsis remains one of ...

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts Graphics Cards 'It ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...