Revolutionizing Patient Care: The Rise of AI Dental Diagnosis

AI algorithms have demonstrated a sensitivity of approximately 91% in detecting early dental caries, compared to 84% for ...

Qifeng Hu streamlines Intelligent Tax Data Management and Anti-Fraud Technology Through Statewide System Implementation and Federal-State Integration

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud ...
Grocery Dive

What retailers need to know about AI-powered pricing

This type of pricing holds enormous potential for retailers as long as they stay vigilant of regulatory moves and consumer ...
NEJM Catalyst

From Promise to Practice: The Next Era of AI in Health Care

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
The Verge

The algorithm failed music

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

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 ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
IEEE

Research and Implementation of Machine Learning Algorithms in Tourism Recommendation

Abstract: The role of travel recommendation in the tourism industry is very important, but there is the problem that travel recommendation reviews are not true. Ordinary methods cannot solve the ...