Smart Imaging for Early Detection of Human Diseases presents a comprehensive exploration of how Artificial Intelligence, Machine Learning, Deep Learning, Big Data, Internet of Things, Edge AI and Cloud Computing are transforming medical imaging and healthcare. The book examines the transition from conventional, largely manual diagnostic approaches toward intelligent systems capable of supporting earlier, faster and more data-driven disease detection.Beginning with the evolution of smart imaging and deep learning architectures, the book discusses AI-driven radiological imaging and its applications in the detection of cancer, neurological abnormalities, cardiovascular diseases and respiratory disorders. It further explores predictive health analytics, real-time diagnostics using portable devices, big data in medical imaging and AI-enabled clinical decision support. The later chapters address energy-efficient Edge AI, cloud-based smart healthcare, regulatory frameworks, next-generation imaging technologies and practical approaches for developing AI solutions.

Dr. Dimple Tiwari is associated with Vivekananda Institute of Professional Studies, GGSIPU, Delhi, India. She received her Ph.D. degree in CSE from the Guru Gobind Singh Indraprastha University Delhi, in 2023. Dr. Tiwari has published various research papers in highly reputed, SSCI/SCI/SCIE- Indexed Journals including Elsevier, Wiley, Springer, Inderscience, etc. She has also published and grants many patents in Indian and UK Government. Her current research area is Generative AI, Deep Learning, Information Security, Io, Natural Language Processing.

Dr. Alpana is a Data Scientist, Researcher and Academician, with an exceptional academic and professional expertise. Her Ph.D. is in Computer Science & Technology; She holds a Master of Technology in Information Technology and a Bachelor of Technology in Computer Science and Engineering. Her fields of research encompass machine learning, AI, data science, deep learning, natural language processing, and image recognition. Having an extensive academic and industry experience, Dr. Alpana has occupied powerful roles, which have enabled her to spearhead progressive research and technological development. She has authored extensively on the subject with many publications in SCI/SCOPUS indexed journals, conferences, book chapters and patents, cementing her reputation in the artificial intelligence field. Besides her personal work, Dr. Alpana is also instrumental in advising and supporting the future generation of AI experts. She offers good research and thesis supervision to Ph.D. scholars, Master and Graduate students, and industry professionals, contributing to the future of the field.

Dr. Bhoopesh Singh Bhati is currently associated with Indian Institute of Information Technology Sonipat (Institution of National Importance) Under Ministry of Education, Government of India as an Assistant Professor. He received his Ph.D (Computer and Engineering the University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University Delhi, in 2020. He has obtained his M.tech (Information Security) and B.tech. (Computer Science and Engineering) from Guru Gobind Singh Indraprastha University, Delhi, in 2009 and 2012 respectively. He has teaching experience of more than 13 years as Assistant Professor and Associate Professor in various Institutions/Universities like Ambedkar Institute of Advanced Communication Technologies & Research Govt. of N.C.T Delhi, Geeta colony, Delhi and Chandigarh University, Mohali. He is a spoke person from IIITS in Information Security Education and Awareness Project (MeitY). Dr.  Bhati has been awarded a research grant of ₹35 lacks under the National Supercomputing Mission. Dr. Bhati has published various research papers in highly reputed, SSCI/SCI/SCIE-Indexed Journals including Elsevier, Wiley, Springer, Inder science, etc. He is a Recognize/ Active Reviewer of various reputed journals of IEEE, Elsevier, Wiley, Springer etc. Dr. Bhati has h-index:17 and i10 index 23. He has been organized 2 International FDP programs and 1 National FDP Programs. Dr. Bhati has also participated and presented paper in Springer International Conference (RICE 2019) held in Vietnam. His current research area Intrusion Detection, Information Security, IOT and Data Science with Machine Learning.

Dr. Monika is associated with Bennett University, Greater Noida, Uttar Pradesh, India, and has more than 14 years of experience in teaching and research. She received her Ph.D. in Computer Science and Engineering from Banasthali Vidyapith, with her doctoral research focused on aviation accident analysis using data science. She has published research papers in peer-reviewed international journals indexed in SCI/SCIE and Scopus. She has guided numerous M.Tech. dissertations and more than 80 B.Tech. projects. She has three published/granted patents and designs in areas including badminton match outcome prediction, aviation safety prediction, and routing schemes for airborne ad hoc networks. Her research interests include Artificial Intelligence, Data Science, Flying Ad Hoc Networks (FANETs), Vehicular Ad Hoc Networks (VANETs), and Cellular Automata. Her academic interests include Advanced Databases, Advanced Data Structures, Algorithm Design and Analysis, Machine Learning, and Data Science.

Chapter 1. Evolution of Smart Imaging in Healthcare
Parichoy Nandi, Riya Sil

Chapter 2. Deep Learning Architectures for Medical Image Analysis
Harleen Kaur, Sayani Ghosal, Dimple Tiwari

Chapter 3. AI-Driven Insights in Radiological Imaging
Priyanka Sahu, Monika, Ishika Garg

Chapter 4. Cancer Detection: The Role of AI in Early Diagnosis
Chaahat, Rohini Raina, Meenu Lochan, Naveen Kumar Gondhi

Chapter 5. Neurological Disorders and Smart Imaging Solutions
Divisha Bhardwaj, Richa Jain, Pankaj Jain

Chapter 6. Cardiovascular Imaging: Leveraging AI for Early Warnings
Ananya Gupta, Dimple Tiwari

Chapter 7. AI-Powered Detection of Respiratory Diseases
Priyanka Sahu, Jayant Goel, Sarvasv Trivedi, Radhika

Chapter 8. Predictive Health Analytics: Early Disease Detection and Risk Assessment
Sonam Juneja, Bhoopesh Singh Bhati, Souvik Maiti, Sakshi Gupta

Chapter 9. Real-Time Diagnostics with AI in Portable Devices
Bhumika Sharma, Shelly Garg, Ashima Narang

Chapter 10. Big Data in Medical Imaging: Opportunities and Challenges
Greetta Pinheiro, Reetu Singh, Pardeep Singh, Amit Soni Arya

Chapter 11. Integrating AI with Clinical Decision Support Systems
Shweta Sinha, Priyanka Makkar

Chapter 12. Performance Optimization of Edge AI Algorithms for Energy-Efficient IoT Health Monitoring Devices
Mradul Kumar Jain, Updesh Kumar Jaiswal, Eshank Jain, Jaishree Jain, Anu Chaudhary, Anmol Jain

Chapter 13. The Convergence of Cloud Computing and AI in Smart Healthcare: Innovations and Challenges
Ankur Ghosh, Bidisha Barua, Riya Sil, Alpana

Chapter 14. Regulatory Frameworks for AI in Medical Imaging
Pardeep Kumar, Atul Kumar Srivastava, Sakshi Pandey, Pankaj Jain, Monika

Chapter 15. Next-Generation Healthcare: A New Era of Smart Imaging and Advanced Technologies
Ritam Rajak, Thiruvenkatasamy Sarathamani, Riya Sil

Chapter 16. Building AI Solutions for Medical Imaging: A Practical Guide
Noor Mohammad, Sayani Ghosal, Dimple Tiwari

Chapter 17. The Promise of AI in Transforming Healthcare
Anil Kumar Lamba, Satinder Pal