ARTIFICIAL INTELLIGENCE FOR MEDICAL DATA PROCESSING ALGORITHMS AND APPLICATIONS (HB 2027)

This book showcases the potential of artificial intelligence to transform diagnostics, predictive analytics, personalized treatment, and healthcare resource optimization. It presents real-world applications and emerging trends, such as quantum computing, federated learning, and edge artificial intelligence.

Features:

• Explores the intersection of artificial intelligence and neuroscience, including applications in understanding brain disorders, cognitive functions, and neuroimaging data processing.
• Provides insights into emerging technologies such as quantum computing and their potential to revolutionize medical data processing, accelerate artificial intelligence algorithms, and solve previously intractable problems in healthcare.
• Analyzes advanced strategies for identifying and mitigating biases in artificial intelligence models, ensuring compliance with global healthcare regulations and fostering ethical artificial intelligence adoption.
• Discusses the application of multi-agent artificial intelligence systems in optimizing hospital operations, emergency response, and resource management in healthcare ecosystems.
• Covers the use of generative models, such as generative adversarial network and variational autoencoders, in drug design, protein structure prediction, and the creation of synthetic biomedical datasets.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, drug delivery, and information technology.

Chetna Sharma is working as an Assistant Professor in Chitkara University, Punjab. Her areas of expertise include Machine Learning, Soft Computing, Pattern Recognition, Image Processing, and Artificial Intelligence.

Amandeep Kaur is currently working as a Professor at Chitkara University Institute of Engineering and Technology, Chitkara University Punjab, India. Her main areas of research are medical informatics, machine learning, IoT, artificial intelligence, and cloud computing.

Harpreet Singh is a distinguished Professor of Electrical and Computer Engineering at Wayne State University. His research interests include diverse and include computers, software engineering, and intelligent systems.