LAUSR

Moeller and Salas have written a thoughtful forecast for the future of neurologic education in 2035.1 However, the forecast is incomplete without mentioning the role that artificial intelligence will play in neurologic education. Artificial intelligence and machine learning will reduce the cognitive load from clinical environments and facilitate bedside teaching.2 For example, the artificial intelligence-based large language model called ChatGPT can aid clinical decision-making by providing differential diagnoses for common symptoms, draft research manuscripts, and pass the United States Medical Licensing Examination.3,4 These tools have their inherent limitations such as potential misinformation and lack of accountability, yet such technology will continue to evolve and potentially be effective in neurologic education in the next decade.