AI in MS: IJMSC Survey Results

Artificial intelligence (AI) is emerging as a transformative force in medicine. From accelerating drug discovery and analyzing complex genomic data to improving diagnostics and automating image analysis to see beyond human capabilities, AI is fundamentally reshaping how we care for patients. It also continues to shape how we perform research and write about that research by extending beyond the well-accepted spell and grammar checkers to apps that can write complete papers when fed enough information. Finally, as a journal, the International Journal of Multiple Sclerosis Care (IJMSC) recognizes that AI could level the playing field for authors worldwide. However, we are aware that the ethical standards we adhere to through our professional organizations do not permit AI to be considered an author. Though the excitement is palpable as we see the possibilities of AI in these 3 areas, there is also caution as the field considers ethical questions about its use and worries about it being given free rein. From hallucinations to learned bias from data to obscuring clinical reasoning, there is much to be concerned about, but the future beckons. Could AI’s skills at pattern recognition allow people with multiple sclerosis (MS) to be diagnosed before damage takes place? Could a digital twin predict a person’s disease progression?