As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and ...

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 ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT ...