Layer‐wise Adaptive Sine Activation Based Recurrent Network for MCI Conversion

The high accuracy and edge-device compatibility of this method have the potential to significantly improve clinical practice by allowing early and cost-effective diagnosis of MCI in a wider range of healthcare settings, including remote and resource-constrained environments. This innovative method offers an efficient and practical solution for the early diagnosis of dementia, overcoming the limitations of traditional deep learning based models.