Artificial Intelligence (AI) is increasingly being integrated into the healthcare sector, transforming various aspects of medical practice. One of the most significant applications is in diagnostic processes, where AI algorithms can analyze medical images, such as X-rays and MRIs, with a high degree of accuracy, sometimes surpassing human capabilities. This enhances diagnostic speed and precision, leading to earlier detection of diseases. Furthermore, AI is utilized to develop prognostic models that predict patient outcomes based on vast datasets of clinical information. However, the widespread adoption of AI in medicine is not without challenges. Key ethical considerations, such as patient data privacy and the potential for algorithmic bias, must be carefully addressed. Ensuring that these technological advancements are implemented responsibly is crucial for their long-term success and acceptance.