AI Bioethical Dilemmas: The Principle of Beneficence and the Role of AI

Is the use of artificial intelligence (AI) in radiology ethically acceptable? Should its use be restricted, or should it be rejected entirely? These are questions that cannot be easily answered at first glance. According to the principle of beneficence, medical interventions must promote the wellbeing of patients—a goal that artificial intelligence clearly promises to support. In contemporary medical bibliography, the positive contribution of AI to daily medical practice is indisputable; it plays a significant role in facilitating rapid diagnosis and more effective management of urgent cases. During periods of high workload—such as on-call shifts— AI can sift through hundreds of normal imaging studies to identify those containing positive findings, immediately alerting the radiologist and highlighting the need to prioritize the diagnosis of these specific cases. Reducing the time required to locate imaging studies that show positive findings is a significant advantage, and the resulting benefit to the patient is clear. It is not necessary to examine every single imaging study in sequence to identify the one positive case among many normal ones.