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AI reshapes lending with credit scoring, fraud tools, and cost risks

Financial institutions are rapidly adopting AI for credit scoring, fraud detection, and customer engagement, using machine learning to expand access, improve accuracy, and speed decisions. While these ...

What Are Prediction Markets, and Why Are They Causing Controversy?

The indictment of a soldier who bet on the U.S. operation to capture President Nicolás Maduro of Venezuela put renewed focus ...
The Business & Financial Times on MSN

The next generation of loan products in West Africa: Building credit around the borrower

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 ...
IEEE

Loan Defaulter Prediction using Machine Learning: A Comparative Analysis with Explainability Insights

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 ...
Frontiers

Web-based cardiovascular disease risk prediction using machine learning

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
The Lancet

When to and when not to use machine learning in risk prediction models

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

A Comparative Analysis for Loan Approval Prediction using Machine Learning

Abstract: The financial sector of any nation is the key factor in elevating the economy of nation. The biggest issue that finances departments are facing is to approve loans for valid candidates only.
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

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

Early prediction of gestational diabetes mellitus using machine learning-integrated metabolomic and clinical features

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