A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on ...

This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...