Machine learning algorithm for prediction of inpatient treatment-related mortality (scenario 1). (A) ROC curve, (B) PRC, and (C) calibration plot for the Florida test set of all algorithms.

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

New research finds that machine-learning algorithms can help health care staff distinguish the two conditions. Researchers show how algorithms may be effective predictive tools using a few simple ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.