Applications of Artificial Intelligence in Healthcare and Biomedicine

Written by Abdulhamit Subasi PhD, this comprehensive guide provides updated knowledge on the applications of artificial intelligence in medical image analysis, exploring the vast potential of AI in healthcare and biomedicine.

Explore Cutting-Edge AI Applications in Medical Imaging

In 16 chapters, this valuable resource presents artificial intelligence applications in:

• Electrocardiogram (ECG) signal analysis
• Electroencephalogram (EEG) signal analysis
• Electromyography (EMG) signal analysis
• Computed Tomography (CT) image analysis
• Magnetic Resonance Imaging (MR) image analysis
• Ultrasound image analysis

AI-Powered Healthcare Solutions

Discover how AI models can be used for:

• Early breast cancer detection from mammograms using artificial intelligence
• Detecting lung cancer using histopathological image analysis
• Faster diagnosis of Optical Coherence Tomography (OCT) images using deep learning-based approaches
• 3D medical image analysis using 3D Convolutional Neural Networks (CNNs)

AI-Driven Healthcare Insights

This comprehensive resource also covers:

• An AI-based approach to forecast diabetes patients’ hospital re-admissions
• Applications of Artificial Intelligence algorithms for clinical data analysis
• Insights into AI applications in biomedical signal analysis and biomedical image analysis
• AI applications in healthcare, including drug discovery

This is a valuable resource for clinicians, researchers, and healthcare professionals seeking to learn more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis.

Product Details

Publisher: Academic Press
1st edition: April 5, 2024
Language: English
Paperback: 548 pages
ISBN-10: 0443223084
ISBN-13: 978-0443223082