Advances in mass spectrometry-based proteomics enable researchers to acquire large-scale datasets with hundreds to thousands of samples. Artificial intelligence (AI) technologies are now applied across the entire proteomics workflow and can be used to distill meaningful insight from clinical proteomics data. While there are still substantial challenges, proteomics-fueled AI has great potential to improve health outcomes.