Applications of Artificial Intelligence in Healthcare and Biomedicine

Abdulhamit Subasi (Full Professor, University of Turku, Finland)

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English

Academic Press Inc
22 March 2024

Health systems & services; Medical imaging; Artificial intelligence

Series: Artificial Intelligence Applications in Healthcare and Medicine

Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. In 16 chapters, it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR), and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological image,

and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images.

In addition, it presents 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Final sections cover an AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers, and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis.

By: Abdulhamit Subasi (Full Professor University of Turku Finland)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 1.110kg
ISBN: 9780443223082
ISBN 10: 0443223084
Series: Artificial Intelligence Applications in Healthcare and Medicine
Pages: 548
Publication Date: 22 March 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Processing. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. His career has spanned various prestigious institutions, including the Georgia Institute of Technology in Georgia, USA, where he served as a dedicated researcher. In recognition of his outstanding research contributions, Subasi received the prestigious Queen Effat Award for Excellence in Research in May 2018. His academic journey includes a tenure as a Professor of computer science at Effat University in Jeddah, Saudi Arabia, from 2015 to 2020. Since 2020, he has assumed the role of Professor of medical physics at the Faculty of Medicine, University of Turku in Turku, Finland