Artificial Intelligence and Machine Learning, An Issue of Neuroimaging Clinics of North America (Volume 30-4) (The Clinics: Radiology, Volume 30-4)

By Reza Forghani MD PhD FRCPC DABR
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 Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; 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 more!

The Neuroimaging Clinics of North America has a new issue focused on Artificial Intelligence and Machine Learning, edited by the renowned Reza Forghani MD PhD FRCPC DABR. This issue is a must-read for anyone interested in the intersection of AI and Neuroimaging, as it covers topics ranging from the history of Artificial Intelligence to ethical and legal considerations.

The articles in this issue provide a comprehensive overview of the most relevant topics in the field, including the evolution of approaches for computerized image analysis, classic and modern machine learning techniques, natural language processing, and diverse applications of AI in neuroradiology. Additionally, the issue includes two case studies on AI and stroke imaging, one from an East Coast perspective and another from a West Coast perspective, providing readers with insights into how AI is being applied in practice.

As technology continues to evolve, AI has become increasingly important in medical imaging, and this issue of the Neuroimaging Clinics of North America makes it clear why. From improving workflow optimization and predictive analytics to providing advanced visualization techniques and 3D printing, the applications of AI in neuroimaging are vast and varied.

The issue also touches on the ethical and legal considerations of AI in neuroimaging, which is a much-needed discussion considering the challenges that new technology brings. Readers will learn about the potential implications of AI in the medical field and the importance of regulation.

In terms of promotional content, the Neuroimaging Clinics of North America’s Artificial Intelligence and Machine Learning issue is an investment worth making for anyone interested in staying on top of cutting-edge technology and its applications in Neuroimaging. It’s a great resource for Radiology departments and AI enthusiasts to stay informed. Readers who choose to purchase this issue (as an eBook digital format) will be provided with concise, in-depth insights into the latest developments in AI research in the field of Neuroimaging.

In conclusion, the Neuroimaging Clinics of North America’s Artificial Intelligence and Machine Learning issue is a valuable resource for anyone interested in the intersection of AI and Neuroimaging. With its extensive coverage of topics ranging from classic machine learning to 3D printing, readers can expect to emerge with a comprehensive understanding of the emerging technologies within the field.

Product Details

• Publisher ‏ : ‎ Elsevier (November 3, 2020)
• Language ‏ : ‎ English
• Hardcover ‏ : ‎ 240 pages
• ISBN-10 ‏ : ‎ 0323712444
• ISBN-13 ‏ : ‎ 978-0323712446