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

Abstract

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 com
munication improvement) and alternatives (human mentoring, teacher training, AI-enhanced simu
lators). 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 profes
sionals for compassionate and effective medical practice in a technologically advanced context. 

DOI: 10.5281/zenodo.17079196