In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

By John Pabi NtifoIncome aligned lending, AI assisted affordability analysis, and dynamic pricing are no longer theoretical. The conditions for borrower first credit products are converging in West ...

Welcome to Saturday Hashtag, a weekly place for broader context. Saturday Hashtag: #AIDigitalAssumption originally appeared ...

Abstract: Approval of loans is important and delicate work for financial institutions, considering that the processes have become more complicated due to digitalisation and the amount of data that is ...

Abstract: The precise prediction of loan defaults is very important for banks and other financial institutions to mitigate their risk. This study evaluates the performance of three different machine ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Our staff has some thoughts about how the season may go for Lauri Markkanen, Joel Embiid and Brandon Ingram, among others. Illustration: Kelsea Petersen / The Athletic; Melissa Majherzac, Cole Burston ...