Highlights of the Research
– Clinicians demonstrated a high level of critical engagement, successfully identifying and disregarding incorrect AI recommendations, suggesting that AI serves as a tool rather than a replacement for clinical judgment.
– The AI system most significantly influenced clinical behavior when it recommended against switching from intravenous to oral antibiotics, reinforcing conservative decision-making and risk-aversion in infectious disease management.
– Despite the emphasis on Explainable AI (XAI) in academic research, clinicians in this study utilized AI-generated explanations only 9% of the time, prioritizing rapid decision-making over detailed logic.
– Technical usability was rated highly (System Usability Scale: 72.3), yet behavioral inertia and existing hospital infrastructure remain the most significant barriers to real-world implementation.
