The swift integration of machine learning into healthcare presents unique challenges regarding safety . Solid systems are crucial for confirming the correctness and impartiality of algorithm-driven tools. Stringent adherence with applicable standards, such as patient privacy rules, is vital , alongside regular monitoring and inspection to reduce po