AI-powered medical devices in ophthalmology face serious risks from biased algorithms and flawed datasets that compromise patient safety. These systems often fail to work accurately across diverse populations due to source and context bias, leading to misdiagnoses and inappropriate treatment decisions. The black-box problem and cybersecurity vulnerabilities make these technologies potentially dangerous without proper oversight.