Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...

Yeshwanth Macha developed explainable AI models improving insurance fraud detection accuracy, transparency, compliance and ...

Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

The global impact of drug and alcohol use presents significant public health and safety challenges. MindBio Therapeutics is establishing a unique position in the emerging field of voice-based ...

The combination of pharmacotherapy and psychotherapy is associated with reductions in emergency department visits and inpatient admissions along with lower total cost of care relative to either ...

Background Chronic total occlusion (CTO) often triggers collateral coronary development, yet the relationship between ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Socioeconomic, racial, and institutional factors significantly affect treatment access and patient outcomes in Guillain-Barré syndrome, despite standardized care guidelines in the US. Objectives: ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...