Next Generation Healthcare
Deep Learning and Blockchain for Precision Clinical Decision-Making
1st Edition
Published on 23. December 2025
Book
Paperback/Softback
481 pages
978-1-0364-6498-1 (ISBN)
Description
Healthcare faces significant challenges due to fragmented data, vendor-locked systems, and security concerns, which hinder the timely delivery of clinical insights and efficient workflow management. This book explores the transformative potential of AI, particularly deep learning (DL) AI, in addressing these issues and enabling personalized healthcare. It covers diverse applications such as clinical trials, telemedicine, EHR management, and disease detection, emphasizing the importance of accurate algorithms to enhance patient outcomes. Key chapters delve into AI's impact on areas like Parkinson's and Alzheimer's detection, the role of blockchain in data integrity, the use of NLP, AR/VR in healthcare, and strategies to combat billing fraud. The book also highlights the importance of diversity in healthcare and presents cutting-edge DL frameworks, such as YOLOv8 and U-Net, for medical image segmentation, offering valuable insights for researchers, practitioners, and policymakers alike.
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Additional editions
Jyotir Moy Chatterjee | Jyotir Moy Chatterjee | Shubham Mahajan
Next Generation Healthcare
Deep Learning and Blockchain for Precision Clinical Decision-Making
Book
06/2025
Cambridge Scholars Publishing
€112.84
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Persons
Jyotir Moy Chatterjee is an Assistant Professor in Computer Science and Engineering at Graphic Era University, Dehradun, India, and a visiting faculty member at Lord Buddha Education Foundation, Nepal, affiliated with Asia Pacific University, Malaysia. Previously, he served as Program Leader for BSc IT at the same foundation. Chatterjee holds an MTech in Computer Science from Kalinga Institute of Industrial Technology and a BTech from Dr MGR Educational and Research Institute, both in India. His research focuses on Machine Learning and Deep Learning.
Dr Shubham Mahajan is an Assistant Professor at Christ University, Delhi, India, with expertise in AI and image processing. He holds 20 patents and has published 77 papers. Mahajan's research includes image processing, machine learning, and robotics. He has won multiple awards, including the Best Research Paper (2019) and Excellence in Research (2023). Mahajan actively promotes international research collaboration and has represented the Institute of Electrical and Electronics Engineers as a Campus Ambassador.
Dr Shubham Mahajan is an Assistant Professor at Christ University, Delhi, India, with expertise in AI and image processing. He holds 20 patents and has published 77 papers. Mahajan's research includes image processing, machine learning, and robotics. He has won multiple awards, including the Best Research Paper (2019) and Excellence in Research (2023). Mahajan actively promotes international research collaboration and has represented the Institute of Electrical and Electronics Engineers as a Campus Ambassador.