AI in healthcare includes reducing documentation burdens, improving diagnostics, predicting outcomes, analyzing datasets, customizing treatments, and speeding up clinical trial recruitment. Institutions like OSF HealthCare and University of Chicago Medicine are exploring AI for tasks like drafting clinical notes and detecting diseases. Ethical oversight involves strategic priorities, stakeholder involvement, cost-benefit analysis, and continuous monitoring. AI aims to improve quality, accessibility, equity, and patient experience, though challenges remain in transparency and understanding AI's complex processes.