We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

The predictive analytics market within the banking sector has been witnessing substantial growth in recent years, fueled by the increasing adoption of data-driven decision-making processes and the ...

Your brain’s “emergency brake” goes quiet during rival defeats. Highly engaged fans showed reduced activity in the brain region that normally keeps aggressive impulses in check, potentially explaining ...

Risk stratification of patients with chest pain has traditionally focused on identifying obstructive coronary artery disease (CAD). Using this traditional approach, many symptomatic individuals are ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

A 75-year study of 1,497 Michigan lakes finds fish are shrinking, especially the youngest and oldest. Temperature metrics can ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Hybrid stacked AI/ML models achieve over 90% accuracy in detecting insurance fraud, significantly reducing losses and improving operational clarity for insurers. Trending Photos In one of the major ...

Any AI system will only ever be as good as the data that feeds it. And, in the case of Criteo commerce AI, that can’t just be ...