Microsoft's AI healthcare suite aims to improve patient care, while major institutions like Yale, Harvard, and the University of Michigan explore AI initiatives. However, the rapid adoption of AI in healthcare raises concerns about oversight and potential pitfalls, such as AI's 'black box' nature and reliance on biased data. To ensure safety and fairness, stronger regulations, transparency in AI decision-making, and real-world performance tracking are needed. The FDA's approval process for AI medical devices is currently less extensive than for drugs, and a public database for AI device performance is crucial for accountability. Additional resources and public engagement are essential to shape a responsible use of AI in healthcare.