People with amyloidosis have a significantly higher prevalence of atrial fibrillation. An AI model for detecting ATTR-CA yields solid diagnostic results. On average, the readability of patient educational materials on cardiac amyloidosis fails to meet NIH standards. A deep-learning model is able to detect ATTR-CM with robust efficacy. Practical strategies are needed in health centers to ensure patients with ATTRv receive optimal care. Artificial intelligence-enhanced ECG models can effectively detect cardiac amyloidosis. Individuals with transthyretin amyloid cardiomyopathy who have clonal hematopoiesis have an increased risk of mortality.