Why Generative AI Isn’t Enough: The Case for Causal Reasoning in Medicine

An analysis examines the limitations of generative AI in clinical settings and advocates for causal-reasoning systems that provide transparent, mechanism-based outputs grounded in validated biology. The piece argues that explainability and source citation are essential for maintaining clinical trust in AI-driven medical tools, distinguishing transparent reasoning systems from black-box generative models.