Artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize the healthcare industry by improving patient care, reducing costs, and streamlining processes. They can be used for diagnosis, treatment planning, predictive analytics, clinical decision support, administrative tasks, and remote patient monitoring. However, there are risks and challenges associated with their use, including bias and discrimination, misdiagnosis and errors, privacy and security concerns, lack of transparency, and regulatory challenges. To ensure the safe and effective use of AI and ML in healthcare, appropriate safeguards and regulations must be developed.