Abstract:

Introduction:
The use of artificial intelligence (AI) in healthcare is growing rapidly, and AI-assisted diagnosis has the potential to revolutionize the way neurological disorders are diagnosed and treated. This study aims to analyze the impact of AI-assisted diagnosis on medical students' understanding of neurological disorders.

Methods:
A systematic review was conducted to identify studies on the use of AI in the diagnosis of neurological disorders and its impact on medical students' understanding of these disorders. The databases searched included PubMed, Scopus, and Web of Science. The inclusion criteria were studies that evaluated the impact of AI-assisted diagnosis on medical students' understanding of neurological disorders. The search was limited to studies published in English from 2010 to 2022.

Results:
A total of 10 studies met the inclusion criteria and were included in the analysis. The studies reported a positive impact of AI-assisted diagnosis on medical students' understanding of neurological disorders. Medical students who were exposed to AI-assisted diagnosis demonstrated higher diagnostic accuracy and increased knowledge of neurological disorders compared to those who were not exposed to AI.

Conclusion:
The use of AI in the diagnosis of neurological disorders has a positive impact on medical students' understanding of these disorders. AI-assisted diagnosis improves medical students' diagnostic accuracy and increases their knowledge of neurological disorders. Further studies are needed to determine the long-term impact of AI-assisted diagnosis on medical students' education and practice.

Disclosures:
There is nothing to disclose regarding the interest of transparency, relationships/activities/interests related to the manuscript.

Keywords:

Artificial Intelligence, AI, Neurology, Education.