AI-enhanced EEG analysis has shown a significant increase in publications related to clinical decision support systems since 2025, indicating growing interest and development in this area.
Artificial intelligence has transformed electroencephalography (EEG) analysis, with publication activity accelerating markedly since 2015 and again after 2022. This trend is driven by transformer-based architectures, foundation models for biosignals, and increasingly accessible open-source tooling. Yet, EEG-based clinical decision support systems (CDSS) only recently gained momentum. A scientific literature scan indicates a sharp rise in EEG-CDSS publications in 2025. This mini-review highlights the technological, regulatory, and infrastructural developments that now make EEG-based CDSS particularly timely and delineates the remaining challenges for their widespread adoption in clinical neurology.
Salchow-Hömmen et al. (Wed,) conducted a other in EEG-based clinical decision support systems. AI-enhanced EEG analysis was evaluated on Publications on EEG-CDSS. AI-enhanced EEG analysis has shown a significant increase in publications related to clinical decision support systems since 2025, indicating growing interest and development in this area.