Artificial Intelligence in Advanced CNS Lab Investigations: Revolutionizing Diagnosis with MRI, CT, PET, and Beyond

Artificial intelligence (AI) is transforming healthcare, with its applications in advanced central nervous system (CNS) investigations being particularly noteworthy. This review delves into the integration of AI with diagnostic imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET), focusing on its ability to enhance diagnostic precision and efficiency in neurology. CNS disorders, including stroke, epilepsy, and neurodegenerative diseases, demand accurate and timely diagnosis, a challenge often limited by the complexities of imaging data and human interpretation. AI, leveraging machine learning (ML) and deep learning (DL) algorithms, has emerged as a game-changer, enabling automated image processing, lesion detection, and quantitative analysis, significantly reducing errors and enhancing clinical outcomes.The review outlines the technological advances in AI, including convolutional neural networks (CNNs) and natural language processing (NLP), which have expanded the capabilities of neuroimaging beyond traditional boundaries. Clinical applications range from early stroke detection to tumor characterization and tracking metabolic activity in neurodegenerative conditions. Furthermore, AI facilitates cross-modality integration, combining insights from MRI, CT, and PET to create a comprehensive diagnostic framework.Beyond its clinical benefits, the review highlights the challenges of implementing AI in CNS lab investigations, including ethical considerations, data security concerns, and algorithmic biases. The discussion extends to future prospects, emphasizing the potential of AI to support precision medicine, predictive diagnostics, and telemedicine in neurology. This review serves as a comprehensive guide to understanding how AI is revolutionizing CNS lab investigations, driving innovation, and shaping the future of neurology care.