Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...

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 ...

Edwin Lisowski, Co-Founder and Chief Growth Officer of Addepto, oversees the company’s strategic growth, business development ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

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

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 ...

A clinical decision tool, comprising a validated decision tree, guided point-of-care testing of C-reactive protein, and safety-netting advice, led to reduced antibiotic prescriptions in children with ...