Study raises concerns about AI health-prediction models trained on unreliable datasets

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

Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
The Print on MSN

AI models to predict stroke, diabetes were built on unverifiable data, says study

The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...