Unveiling Alzheimer's Early Signs: AI-Driven Insights Through Neuroimaging and Biomarkers

Abstract

Alzheimer's disorder is a debilitating neurodegenerative disease that influences hundreds of thousands of human beings worldwide. Early detection of the ailment is important for effective control and remedy, but cutting-edge methods for prognosis rely closely on subjective cognitive tests. This frequently ends in a put-off in analysis and sooner or later, restricted remedy options. In recent years, advancements in artificial intelligence (AI) and imaging strategies have shown promising consequences in supporting early detection of Alzheimer's disease. Using neuroimaging information and biomarkers, AI-pushed algorithms can locate subtle modifications in brain shape and features that may be indicative of early stages of Alzheimer's sickness. In this review, the authors discuss the capability of AI-driven neuroimaging techniques and biomarkers in unveiling early signs of Alzheimer's ailment. They additionally spotlight the challenges and potential solutions in imposing AI-driven tactics in scientific settings for early detection and monitoring of the sickness.