1st Edition

Artificial Intelligence for Medical Data Processing Algorithms and Applications

Edited By Chetna Kaushal, Amandeep Kaur, Harpreet Singh Copyright 2027
350 Pages 77 B/W Illustrations
by CRC Press

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,... Read more

1. A Comparative Overview of Artificial Intelligence for Medical Data Processing
Vandana, Chetna Sharma

2. AI-Powered Medical Data Processing From Algorithms to Intelligent Healthcare Systems
Roheen Qamar, Baqar Ali Zardari, Muhammad Affan, Fawad Khan, Zuhaib Azhar

3. Natural Language Processing in Healthcare: Transforming Clinical Texts with Context-Aware Systems
Himanshi Gohri, Seema Pahwa, Jahnavi

4. A Review of AI-Driven Advances in Medical Imaging and Diagnostics
Md Akhtaruzzaman, Mohammad Ullah Shemanto, Martin A Ebert, Paul M. Parizel, Ayesha Parveen, Mashud Parvez

5. AI-Driven Biomedical Image Processing for Breast Cancer Diagnosis: Techniques, Applications, and Clinical Integration
V. K. Patil, Aboli Ravindra Ingole, Sakshi Belge, Vaishnavi Chaudhari, Jiya Khandelwal

6. Hybrid Deep Learning and Explainable AI for Histopathological Analysis and Cancer Biomarker Detection
Kazi Tanvir, Md. Sayem Kabir, Tasnim Sultana Sintheia, Shanzida Zaman Shimu, Dipta Gomes, Mahfujur Rahman

7. AI in Multi-Omics Data Integration for Precision Medicine
Seema Pahwa, Amandeep Kaur

8. Artificial Intelligence for EEG Biomarker Discovery in Emotional Disorders
Nahar Islam Nishi, Syed Rayhan Masud, Ahmed Imtiaz, Dipta Gomes

9. Reinforcement Learning in Personalised Healthcare and Decision Support
Shilpa Kumari, Manjeet Singh, Chaitanya Singla, Ashish Kumar, Manmeet Singh, Rudra Narayan Sharma

10. Real-Time Data Fusion with Edge AI for Wearables and IoT Devices
Gagandeep Kaur, Ruhani Sachdeva, Arunima

11. AI-Driven Predictive Analytics for Disease Forecasting, Management, and Prevention
Nirav Amin, Alok Kumar Agrawal, Jayant Jha, Pradeepta Kumar Sarangi, Subhanshu Goyal, Rajit Verma

12. Generative AI in Drug Discovery and Biomedical Applications
Vijayanandhan V, Agilandeswari Devarajan, Supriya Mana, Mohammad Amin Yatoo

13. Fusion of Convolutional, Transformer, and Capsule Architectures for Enhanced Liver Tumour Segmentation
Kirti

14. Artificial Intelligence Applications in Rural and Remote Healthcare Delivery
Reetu Malhotra, Liv Johar, Sania, Yashita Bansal

15. Ethical AI in Healthcare: Addressing Bias, Fairness, and Regulatory Compliance
Tejinder Kaur, Siddhartha Nuthakki, Anita Venugopal, Anant Wairagade, Mukesh Soni, Ankita

16. Future horizon: Quantum computing and AI medical innovation
Jyoti Lalit Joshi, Rachita Joshi, Manoj Kumar

17. Concluding Perspectives: Consolidated Insights, Open Challenges, and Recommendations
Chetna Sharma, Amandeep Kaur, Harpreet Singh

Biography

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.