While AI is revolutionizing cancer treatment, it also raises ethical concerns and limitations. One major issue is the accuracy of AI models. AI relies on vast amounts of data to make predictions, but if the data is biased or incomplete, it can lead to incorrect diagnoses or treatment plans, putting patient lives at risk.
Privacy is another challenge. AI systems process sensitive patient information, raising concerns about data security and misuse. Ensuring that patient data is protected and used ethically is crucial. Additionally, AI should complement doctors, not replace them. Over-reliance on AI can lead to situations where human judgment is overlooked, which may result in errors, especially in complex cases requiring personalized decisions.
Another limitation is accessibility. Advanced AI-driven treatments may not be available in all hospitals, particularly in developing regions. The cost of AI-powered healthcare tools is high, making it difficult for many patients to benefit from the technology.
Despite these challenges, AI continues to improve cancer treatment, but it must be implemented responsibly. Regulations, ethical guidelines, and continuous human oversight are necessary to ensure AI benefits patients while maintaining trust in the healthcare system.
