Artificial intelligence in Medical Education-A Crosssectional study in Private Setup

Objective: For healthcare providers, expectations, duties, and job descriptions must change as the information age fades and the artificial intelligence age becomes more prevalent. In order to identify areas that can benefit from curriculum restructuring, this study looked at how aspiring doctors perceived the potential effects of artificial intelligence on medicine. Methodology: A nationwide study including 3018 medical students was carried out using a cross-sectional approach across multiple centers. An online survey created and disseminated using a web-based service served as the study's instrument. Results: Artificial intelligence was viewed by the majority of medical students as an assistive technology that might ease patients' access to healthcare (76.7%), physicians' access to information (85.6%), and errors (70.5%). Nonetheless, 44.9% of the participants expressed concern over a potential cutback in physician services, which would result in joblessness. Additionally, it was decided that the application of artificial intelligence in medicine would harm patient-physician interactions (42.7%), devalue the medical profession (58.6%), and erode trust (45.5%). Furthermore, almost half of the participants (44.7%) agreed that they could maintain professional secrecy when using AI apps, whereas 16.1% contended that AI in medicine could lead to professional confidentiality violations. Out of all the individuals involved, a mere 6.0% claimed to be knowledgeable enough to advise patients about the advantages and disadvantages of artificial intelligence. Conclusion: The participants indicated that the medical curriculum needed updating in light of the requirements for transforming healthcare through artificial intelligence. In addition to ensuring that professional values and rights are upheld, the update should focus on providing aspiring physicians with the information and abilities they need to use artificial intelligence technologies successfully. Keywords: Medical Students, Medical Ethics, Medical Curriculum, Artificial Intelligence Medicine