Exploring Intelligent Healthcare with Quantum Computing

Abhishek Kumar is an associate professor at the Department of Computer Science & Engineering, Chandigarh University, Punjab, India, and a post-doctoral fellow at the Ingenium Research Group Lab, Universidad De Castilla - La Mancha, Ciudad Real, Spain. He has more than 12 years academic teaching experience and over 170 publications in peer-reviewed national and international journals and conferences. Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a postdoctoral fellow at the Ingenium Research Group Lab, Universidad de Castilla - La Mancha, Ciudad Real, Spain. His research interests encompass machine learning, renewable energy, health informatics, nature-inspired algorithms, cloud computing, and big data. Vincenzo Piuri is professor of computer engineering at the University of Milan, Italy, an associate professor at the Polytechnic of Milan, Italy and visiting professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA. He is a fellow of the IEEE, distinguished scientist of ACM, and senior member of INNS. His research interests include neural networks, biometrics, image processing. Joel J.P.C. Rodrigues is with the Amazonas State University, Brazil. He is also the leader of the Center for Intelligence at Fecomércio/CE, Brazil and full professor at Lusófona University, Lisbon, Portugal. Prof. Rodrigues is a Highly Cited Researcher (Clarivate), and leader of NetGNA research group (CNPq). He has authored more than 1250 contributions and he is the EiC of the International Journal of E-Health and Medical Communications.

Chapter 1: Blockchain in Healthcare: Revolutionizing Security, Transparency, and Efficiency
Chapter 2: CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Chapter 3: Harmony in Health: Machine Learning Empowered Phonocardiogram Analysis for Early Cardiovascular Disease Detection
Chapter 4: Quantum Artificial Intelligence for Healthcare, Supply Chain and Smart City Applications
Chapter 5: Image Segmentation Algorithms for Healthcare Applications: Enhancing Precision in Diagnostics and Treatment
Chapter 6: Deep Learning for Medical Image Processing: A Comprehensive Exploration of Applications and Challenges
Chapter 7: Blockchain in Healthcare: A Comprehensive Exploration of Security, Interoperability, and Data Integrity
Chapter 8: Big Data Security and Privacy in Health care
Chapter 9: Neural Rhythms: Unveiling Pathways to Early Detection in Neurological Disorders through Wearable EEG Analysis
Chapter 10: Quantum Computing Applications in Healthcare: Revolutionizing Diagnosis, Treatment, and Data Security
Chapter 11: Quantum Computing in Healthcare: Exploring Applications for Drug Discovery and Precision Medicine
Chapter 12: An Intelligent Skin Cancer Disease Identification Strategy using Style-GAN Algorithm
Chapter 13: Importance and Need of IoMT and Big Data to Revolutionizing Healthcare Industry
Chapter 14: Quantum Blockchain-Oriented Data Integrity Scheme for Validating Clinical Datasets
Chapter 15: Quantifying the Performance of Quantum Machine Learning Algorithms for Heart Valve Detection Using H-Bert Classifier
Chapter 16: Quantum-Informed AI: Precision Caloric Assessment for Optimal Health Through Advanced Nutrition Analysis in Lifestyle Management