Patient care now involves AI-driven decision-making tools that influence clinical interactions. These systems offer efficiency but risk introducing algorithmic bias into diagnosis. Practitioners must prioritize human oversight to prevent medical errors. This incremental shift emphasizes safety protocols over total automation. Relying solely on these tools without verification threatens patient outcomes in critical care settings.