附註:Includes bibliographical references and index.
Chapter 1. Medical data analytics: roles, challenges, and analytical tools -- Chapter 2. Incorporating artificial intelligence (AI) for precision medicine: a narrative analysis -- Chapter 3. AI-integrated technology for a secure andethical healthcare ecosystem -- Chapter 4. Application of machine learning for image processing in the healthcare sector -- Chapter 5. An improved hunter-prey optimizer-based densenet model for classification of hyper-spectral images -- Chapter 6. Detection of lung cancers from CT images using a deep CNN architecture in layers through ML -- Chapter 7. AI-enabled healthcare service: coding the future by decoding the complex problems -- Chapter 8. Applications of magnetic resonance imaging in stroke for multidimensional assessment -- Chapter 9. Applying machine learning for medical image processing -- Chapter 10. Early diagnosis of lung nodules with deep neural networks -- Chapter 11. Diabetic retinopathy detection using transfer learning -- Chapter 12. Energy-aware protocols and standards in IoT-enabled healthcare -- Chapter 13. Accuracy in teeth structures segmentation on MRI and CT images -- Chapter 14. Review on AI-based diagnosis of parkinson's disorders -- Chapter 15. Computer vision for nondestructive quality control of superconducting materials in medical practice -- Chapter 16. Nitty-gritty of deep reinforcement learning for the healthcare sector -- Chapter 17. AI and IoT applications in medical domain enhancing healthcare through technology integration -- Chapter 18. AI-aided data analytics tools and applications for the healthcare sector -- Chapter 19. Big data opportunities: lung image segmentation for a coronary artery diseases monitoring system -- Chapter 20. Virtual reality (VR) and augmented reality (AR) transforming medical applications -- Chapter 21. Internet of things (IoT) sensors and models of communications in the healthcare ecosystem -- Chapter 22. Internet of things (IoT)-based sensors wireless communication and i
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