The integration of artificial intelligence in neurology brings with it a host of ethical challenges that must be carefully navigated. As AI systems become more prevalent in diagnosis and treatment planning, concerns around patient privacy, data security, and the potential for algorithmic bias are becoming increasingly important. There is also the question of accountability—who is responsible when an AI system makes a wrong decision? Furthermore, the potential for AI to replace human judgment in critical medical decisions raises significant ethical dilemmas. Ensuring that AI is used as a tool to augment, rather than replace, human expertise is crucial. Ongoing dialogue and policy development are essential to address these ethical considerations, ensuring that the benefits of AI in neurology are realized without compromising patient rights and safety.
Sources : SpringerLink Cureus
