AI-Powered Decision Algorithms in Healthcare: Pro or Con?

This session critically examines AI-powered decision algorithms in healthcare—where they help, where they harm, and what it takes to use them responsibly. We’ll explore real-world examples across triage, diagnosis, risk prediction, and treatment recommendations, highlighting evidence on accuracy, bias, explainability, and clinical impact. Participants will debate key “pro vs. con” questions: Do algorithms improve outcomes or add noise? Who is accountable when AI is wrong? How do we protect privacy while enabling learning health systems? The session also covers practical governance (validation, monitoring, human-in-the-loop workflows, and regulatory considerations) and offers a checklist for evaluating AI tools before deployment in clinical practice.