Advances in Artificial Intelligence for Healthcare Applications

The text discusses topics such as safety in close human-robot interaction, machine vision applications for robotics in healthcare, robotic interactions, and control for wearable devices. It further covers explainable artificial intelligence in medical imaging, the interpretability of healthcare models, and explainable healthcare frameworks.

Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain.

Features:

Discusses advanced concepts such as biomedical large language models, and natural language processing applications.
Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices.
Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services.
Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation.
Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging application using generative artificial intelligence.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

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