Neuroimaging is a rapidly evolving field that harnesses the power of non-invasive imaging techniques to visualize and study the intricate structure and function of the human brain. With the integration of artificial intelligence (AI), this domain has experienced groundbreaking advancements in accuracy, speed, and efficiency when it comes to identifying various brain disorders.
AI models have become indispensable tools in the analysis and interpretation of neuroimaging data, empowering researchers and clinicians to effectively diagnose, treat, and monitor patients grappling with neurological and psychiatric disorders. This Special Issue reprint aims to showcase some of the most advanced AI methods applied within neuroimaging techniques, including magnetic resonance imaging (MRI), positron emission tomography (PET), and computed tomography (CT).
Designed for both academics and professionals in the fields of neuroscience and healthcare, this collection provides a platform for cutting-edge research at the intersection of AI and neuroimaging. It seeks to revolutionize our understanding of the human brain, its functions, and the underlying mechanisms of brain diseases.
This Special Issue reprint equips readers with insights on how AI methods can enhance diagnosis, improve patient care, reduce costs, and elevate clinical decision-making. Additionally, it delves into the treatment and monitoring of patients affected by neurological and psychiatric conditions.
Whether you are a researcher, clinician, or student, this book is an essential resource that illuminates the transformative potential of AI in neuroimaging. Discover how these innovative technologies can lead to better outcomes and deeper insights into brain health.
Authors:
Iman Beheshti (Editor)
Publication Date:
June 12, 2025
