Sina Bari MD: Building Clinical Confidence Through AI Validation
At iMerit Technology, my focus in Medical AI is on ensuring that every model we develop earns clinical trust through careful statistical validation We rely on core metrics like sensitivity, specificity, PPV, NPV, and AUC to evaluate model accuracy and relevance. Our structured process includes data partitioning, external validation, and both retrospective and prospective testing to reflect real clinical conditions. Comparative studies and benchmarking against standard practices help confirm practical value Confidence intervals and hypothesis testing reinforce statistical strength, while continuous monitoring ensures our AI remains effective over time. Find Out More…