MBBS & Nursing Students and Paramedical Staff Views Regarding Artificial Intelligence in Diagnosis and Treatment.

Abstract

Background: Artificial Intelligence (AI) has emerged as a transformative tool in modern healthcare, aiding in diagnosis, treatment planning, and administrative efficiency. However, the perception and acceptance of AI among future and current healthcare providers are crucial for its successful integration.
Objective: To assess the awareness, perception, and attitudes of MBBS students and interns, nursing students, and paramedical staff toward the use of AI in diagnosis and treatment.
Methods: A cross-sectional descriptive study was conducted among 250 participants, comprising 100 MBBS students and interns, 50 nursing students, and 100 paramedical staff (including nurses and technicians). A semi-structured questionnaire was distributed to assess knowledge, attitude, and perceived impact of AI in clinical practice. Data were analyzed using descriptive statistics and chi-square tests for comparison between groups.
Results: Among all participants, 78% were aware of AI applications in healthcare. MBBS students and interns demonstrated the highest awareness (92%), followed by nursing students (70%) and paramedical staff (65%). A positive attitude toward AI integration in diagnosis and treatment was seen in 81% of respondents, though 57% expressed concerns about over-reliance on technology and job displacement. While 68% believed AI could improve diagnostic accuracy, only 41% trusted AI-driven decisions without human verification.
Conclusion: Most healthcare students and staff hold favorable views regarding AI’s role in diagnosis and treatment, though concerns persist about its ethical implications and reliability. There is a clear need for structured AI education within medical and allied health curricula to promote responsible use and understanding of this evolving technology.