Advancements in Neuroimaging: The Role of Artificial Intelligence in Volumetric Analysis

Abstract

Introduction: AI's progress in neuroimaging, especially in volumetric analysis of gray/white matter, boosts accuracy for detecting/treating neurological disorders like Alzheimer's. Integrated AI in imaging software enhances diagnostics and tailors’ medical interventions, promising a transformed landscape in neurology and medical imaging.

Objectives: The objective of this study is to evaluate the influence of AI software based volumetric evaluation of brain abnormalities.

Methods: Utilize academic databases and relevant journals from 2015 to 2022 to gather peer-reviewed articles on AI in neuroimaging volumetric analysis for neurological disorders, focusing on diagnostic accuracy while excluding non-peer-reviewed sources and studies outside the specified timeframe.

Discussion & Conclusions: The review article on AI in neuroimaging volumetric analysis discusses the implications of AI-driven analysis, emphasizing its superior accuracy in detecting neurological disorders, automated processes saving time, personalized treatment planning, challenges like data quality and ethical concerns, and the transformative impact of AI on neurology and medical imaging.