According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Broadcom enters 2026 at an inflection point, with strong tailwinds from its ASIC and Networking segments. Read why AVGO stock ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...