AI in Healthcare: Ethical and Regulatory Challenges

Artificial Intelligence (AI) technologies have rapidly become pioneers in healthcare with the promise of outstanding diagnostic, treatment recommendation, and patient surveillance abilities. Accompanying these revolutionary advantages is also significant ethical and regulatory challenges. Patient privacy, algorithmic bias, explainability, accountability, and the complexity of international regulatory frameworks are all issues that must be skillfully addressed in order to bring about positive and fair healthcare results. This paper critically analyzes the ecosystem of AI in medicine, highlighting main ethical concerns and regulation trends globally. It discusses mechanisms by which emerging frameworks address data handling, model explainability, liability, and fairness, and suggests directions for future harmonization among various stakeholders' groups. Although the future of AI in medicine is very promising, it has to be directed by good ethical standards and adaptable, coherent regulations that protect patient interests and establish public trust.