Organizations Must Prioritize Responsible AI in Healthcare

Artificial Intelligence is no longer something on the horizon of healthcare — it is already embedded in clinical practice. AI systems are routinely used in imaging interpretation, clinical decision support, documentation assistance, scheduling, population health management and patient-facing applications. In many cases, clinicians did not request these tools and may have received little formal training in how they work. Yet their outputs increasingly influence clinical judgment and patient outcomes. As AI becomes increasingly integrated into healthcare, clinicians must remain attentive to the...