A human centered framework for translating machine learning diagnostic evidence into clinical practice guidelines
The continuous evolution of medicine necessitates the adoption of machine learning (ML) methods to strengthen global health systems. As an ethical, non-invasive, and cost-effective complement to randomized controlled trials (RCTs), ML holds great promise for generating clinical insights. However, its integration into...