The MASAI trial1 concludes that artificial intelligence (AI)-supported screening “can efficiently improve screening performance” and “may be considered for implementation in clinical practice”.
The inherent variability and potential inaccuracies of AI-generated output can leave even experienced clinicians uncertain about AI recommendations. This dilemma is not novel; it mirrors the broader ...
Researchers in biomedicine and public health often spend weeks locating, cleansing, and integrating data from disparate sources before analysis can begin. This redundancy slows discovery and leads to ...
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