Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include a brief history of AI, the evolution of approaches for computerized image analysis, an overview of machine learning, and applications in stroke imaging, brain tumor imaging, and predictive analytics.

\n Format: Hardback
\n Length: 240 pages
\n Publication date: 20 October 2020
\n Publisher: Elsevier - Health Sciences Division
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The present issue of Neuroimaging Clinics of North America, under the editorial guidance of Dr. Reza Forghani, delves into the captivating realm of Artificial Intelligence and Machine Learning. Within its pages, a rich tapestry of articles awaits exploration.

Artificial Intelligence, a timeless concept, traces its roots back to the dawn of human imagination. From its humble beginnings to the present-day marvels, AI has evolved, reshaping the way we perceive and interact with the world. This introductory article provides a succinct historical overview, shedding light on the milestones and advancements that have shaped the trajectory of AI.

The Evolution of Approaches for Computerized Image Analysis is a pivotal chapter that explores the diverse methodologies employed in analyzing medical images. From traditional image processing techniques to the cutting-edge applications of deep learning and neural networks, this article provides a comprehensive overview of the field. It delves into the techniques used to enhance image quality, identify patterns, and extract valuable information, paving the way for precision medicine and improved patient outcomes.

Machine Learning, a branch of AI that has gained immense popularity in recent years, is explored in two distinct parts. Part 1: Classic Approaches delves into the foundational principles and algorithms of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It provides a comprehensive foundation for those seeking to understand the core concepts of this rapidly evolving field. Part 2: Artificial Neural Networks & Deep Learning delves deeper into the intricate workings of artificial neural networks and deep learning, shedding light on their applications in image recognition, natural language processing, and autonomous systems.

Natural Language Processing, a key component of AI, plays a pivotal role in enabling human-computer interactions. This article explores the techniques used to process and understand human language, including speech recognition, text analysis, and machine translation. It highlights the advancements in natural language processing and their potential applications in healthcare, education, and various other domains.

Artificial Intelligence and Stroke Imaging: An East Coast Perspective and Artificial Intelligence and Stroke Imaging: A West Coast Perspective offer insightful perspectives on the application of AI in stroke imaging. These articles explore the use of AI algorithms to enhance stroke diagnosis, predict stroke outcomes, and facilitate patient care. They highlight the regional differences in stroke imaging practices and the potential benefits of AI-driven technologies across different healthcare settings.

Artificial Intelligence Applications for Brain Tumor Imaging, Diverse Applications of Artificial Intelligence in Neuroradiology, Artificial Intelligence Applications for Head and Neck Imaging, Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization, Artificial Intelligence, Advanced Visualization, and 3D Printing, Ethical & Legal Considerations for Artificial Intelligence, Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and many more articles delve into the diverse applications of AI in neuroimaging.

These articles cover a wide range of topics, from brain tumor detection and diagnosis to predictive analytics and workflow optimization. They showcase the transformative potential of AI in healthcare and its ability to improve patient care, streamline medical processes, and enhance scientific research.

In conclusion, this issue of Neuroimaging Clinics of North America serves as a valuable resource for researchers, practitioners, and enthusiasts alike. It provides a comprehensive exploration of Artificial Intelligence and Machine Learning, shedding light on their historical roots, current advancements, and potential applications in neuroimaging. The articles featured in this issue offer a glimpse into the exciting future of AI and its profound impact on healthcare and beyond.

\n Weight: 496g\n
Dimension: 186 x 263 x 16 (mm)\n
ISBN-13: 9780323712446\n \n