As artificial intelligence becomes increasingly integrated into medical diagnostics and treatment planning, we face critical ethical questions around data privacy, algorithmic bias, and informed consent. This post explores key challenges in implementing AI within healthcare systems.
- Patient data privacy in machine learning models
- Algorithmic fairness in disease prediction systems
- Ethical frameworks for AI-assisted surgical decisions
While AI offers transformative potential in early disease detection and personalized medicine, we must establish robust governance models that prioritize patient autonomy over technological convenience. I argue for mandatory AI ethics training for all medical professionals...