OMNIAudit: A Transparent Framework for Auditing Artificial Intelligence in Healthcare and Genomics

Artificial intelligence is reshaping modern medicine, but as models grow more complex, concerns around fairness, reliability, and transparency become increasingly critical—especially in genomics and multi-omics research. OMNIAudit was developed as a unified auditing model to address these challenges. It provides a comprehensive evaluation of machine learning systems through modules that test performance, fairness, reliability, stability, and explainability. Designed with simplicity and clarity in mind, OMNIAudit bridges the gap between clinical reasoning and machine learning, ensuring that algorithms behave ethically and consistently across diverse biomedical datasets.