AI RESEARCH
When AI Gets it Wong: Reliability and Risk in AI-Assisted Medication Decision Systems
arXiv CS.LG
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ArXi:2604.01449v1 Announce Type: cross Artificial intelligence (AI) systems are increasingly integrated into healthcare and pharmacy workflows, ing tasks such as medication recommendations, dosage determination, and drug interaction detection. While these systems often nstrate strong performance under standard evaluation metrics, their reliability in real-world decision-making remains insufficiently understood. In high-risk domains such as medication management, even a single incorrect recommendation can result in severe patient harm.