This poster evaluates AI-supported training for focused transthoracic echocardiography (FTTE) to improve scalability in residency education. It compares 17 AI-guided scans from 17 internal medicine and anesthesiology residents trained using a standardized 4-day FTTE curriculum, to 8 historical controls trained without AI. The AI group received 80 minutes of faculty supervision per trainee versus 400 minutes in controls. 99 de-identified scans were scored by blinded board-certified echocardiography faculty using a standardized image-quality rubric, and exam completion time was measured. AI significantly improved the image quality in apical (p < 0.01) and parasternal (p = 0.012) views, with a non-significant upward trend in subcostal views (p = 0.053). The image aquisician time in the AI group was 8 minutes compared to 16 minutes in the non-AI group.