Artificial Intelligence in Healthcare and Medicine (eBook, PDF)

Redaktion: Najarian, Kayvan; Soroushmehr, Reza; Dominguez, Enrique; Kahrobaei, Delaram

• Format: PDF

Produktbeschreibung

It is widely believed that Artificial Intelligence (AI) and its applications will revolutionize healthcare and medicine. This book provides a comprehensive overview on the recent developments on clinical decision support systems, precision health and data science in medicine.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 300
• Erscheinungstermin: 5. April 2022
• Englisch
• ISBN-13: 9781000565812
• Artikelnr.: 63712812

Autorenporträt

Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Professor Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY and the former Chair of Cyber Security, University of York. Enrique Domínguez is an associate professor at the department of Computer Science at the University of Malaga and a member of Biomedic Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Inhaltsangabe

1. Machine learning for disease classification: A perspective. 2. A review
of automatic cardiac segmentation using deep learning and deformable
models. 3. Advances in artificial intelligence applied to heart failure. 4.
A Combination of Dilated Adversarial Convolutional Neural Network and
Guided Active Contour Model for Left Ventricle Segmentation. 5. Automated
methods for vessel segmentation in X-ray coronary angiography and geometric
modeling of coronary angiographic image sequences: a survey. 6.
Super-Resolution of 3D Magnetic Resonance Images of the Brain. 7. Head CT
analysis for intracranial hemorrhage segmentation. 8. Wound Tissue
Classification with Convolutional Neural Networks. 9. Artificial
Intelligence Methodologies in Dentistry. 10. Literature Review of Computer
Tools for the Visually Impaired: A Focus on Search Engines. 11. Tensor
methods for clinical informatics.