Predicting the Future of Patients with Obstructive Uropathy-A Comprehensive Review

Purpose of Review This educational review aims to describe available tools that can be utilized for outcome prediction for children with obstructive uropathy. Recent Findings New approaches focus on personalized assessment or precision medicine enhanced with machine-learning tools for diagnostics and outcome prediction. In addition, tailored early interventions and the introduction of minimally invasive techniques are likely to impact the future management of obstructive uropathies significantly. Summary Obstructive uropathies represent a series of conditions that affect the urinary tract and can be associated with substantial morbidity. Timely diagnosis and management remain challenging. Developing novel methods that enable targeted optimization and personalized care is a matter of intense research. Machine learning tools, prenatal interventions, and minimally invasive operating techniques hold great promise in improving outcomes.