Strategies for socio-emotional well-being in medical training with artificial intelligence using neutrosophic AHP

This article analyzes the socio-emotional impact of artificial intelligence (AI) on the teaching-learning process of medical science students, using the Neutrosophic Analytic Hierarchy Process (NAHP) to prioritize educational strategies that promote emotional well-being and comprehensive professional development. Through a systematic review based on PRISMA and primary data collected through surveys, key socio-emotional factors, such as anxiety, empathy, and resilience, were identified as affected by the use of AI. The NAHP modeled uncertainty in students' and teachers' perceptions through neutrosophic values, structuring criteria (stress reduction, empathy promotion, and communication improvement) and alternatives (human mentoring, teacher training, AI-enhanced simulators). The results highlight priority strategies for integrating AI ethically, minimizing negative emotional impacts and strengthening interpersonal skills. This approach contributes to the design of medical curricula that balance technical and socio-emotional competencies, preparing future professionals for compassionate and effective medical practice in a technologically advanced context.