A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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

The architects of AI have been recognized as Time Magazine’s “Person of the Year” for 2025, symbolizing AI’s sweeping influence on global industries. AI-driven technologies, including generative AI ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Most AI tools are working with incomplete, siloed data, giving leaders a fragmented view of their own interconnected business ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...

Yes, an AI agent makes things up — or rather hallucinates, as generated outputs that have little to do with reality are ...

It is instructive to acknowledge the complex interplay among AI, energy availability, and decarbonisation. While the AI ...

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

In this retrospective cohort analysis, researchers aimed to identify key predictors of trial enrollment among cancer patients.

How Zomato and Swiggy use AI-driven pricing, commissions and platform fees to turn food delivery into a scalable revenue ...