This study by Meetali Kalani and Ashish Anjankar analyzes the impact that Artificial Intelligence (AI) has on current Neurology, emphasizing the key areas of neurology AI has been making a significant impact through a thorough a comprehensive review of current research in the field. The findings highlight AI’s significant role in advanced neuroimaging systems, allowing complex analyses to be done in seconds, AI programs have been integrated into advanced neuroimaging programs, enabling complex analyses to be done in seconds, reducing the stress that radiologists and neurologists must face while also improving the diagnostic accuracy. AI has also recently been used in Brain-Computer Interfaces (BCIs), allowing for the human brain to control external devices through thought, facilitating a wide variety of tasks such as movement and communication. AI has also excelled in the process of making early diagnoses, through quickly analyzing patient data to make accurate diagnoses with little to no time. Other applications include disease prediction, personalized treatment planning, accelerating drug discovery research, and efficient management of patient data. However, there are potential considerations with the usage of AI in neurology, including the need for high-quality datasets for AI training, ethical dilemmas, lack of transparency, and patient consent, remain significant barriers for the usage of AI in neurology.