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Author

Fatemeh Ahouz

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Review Open access Aug 2026

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...

Fatemeh Ahouz, M. Kafaee, Kolsoum Deldar et al. · 0 citations
Open access Jul 2026

Leveraging human-centered AI for clinical decision-making: a transparent, accurate rule extractor using non-dominated sorting genetic algorithm.

A human-centered rule extraction model based on the Non-Dominated Sorting Genetic Algorithm, designed to enhance the interpretability and clinical utility of diagnostic tools in healthcare and build trust in AI-driven diagnostic systems through transparency and clinical validation is introduced.

Fatemeh Ahouz, M. Sohrabi, A. Golabpour · 0 citations

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