Nima Iranpour is a clinician and researcher with expertise in early-career vascular surgery. He has contributed to multidisciplinary research focused on improving surgical outcomes, patient-centred care, and evidence-based decision-making. His academic interests include the application of Multi-Criteria Decision Analysis (MCDA) to complex clinical decisions and the growing impact of artificial intelligence on patient understanding, trust, and perceptions of medical care. Nima is particularly interested in how decision-support tools and emerging technologies can enhance shared decision-making and improve the quality and transparency of clinical conversations.