Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Hamed Ebrahimian's work could help enhance prediction, decision-making and safety during natural events such as wildfires and earthquakes. The behavior of massive wildland fires is incredibly complex, ...

AI model improves delirium prediction, leading to better health outcomes for hospitalized patients Novel AI Model boosts early detection and treatment by increasing staff efficiency Date: May 7 ...

Fig. 1: Modeling qubits in a realistic way involves large-scale atomistic models with possibly amorphous materials, disorder, ...

A research team from KAIST Nuclear and Quantum Engineering presents an AI assesser for Hall-effect ion thrusters, the engines of satellites and space probes.

The European Center for Medium-Range Weather Forecasts has debuted its own forecast AI model on the heels of a cutting-edge Google model released in December.

Lighting up earthquakes: How scientists watched ruptures evolve in milliseconds New laboratory earthquake model links real contact area to earthquake dynamics, opening a new pathway for earthquake ...