GANs in Medical Diagnostics and Classification

Häftad, Engelska, 2027

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Beskrivning

GANs in Medical Diagnostics and Classification explores the role of Generative Adversarial Networks (GANs) in addressing underdiagnosed and overlooked health challenges. The book bridges cutting-edge AI research with real-world medical applications, presenting interdisciplinary insights into how GANs enhance diagnostics, treatment precision, and disease surveillance across domains such as antimicrobial resistance, rare genetic disorders, and environmental health risks. It also examines ethical, policy, and accessibility dimensions of AI in healthcare. By combining technical depth with practical case studies, this volume equips medical researchers, AI engineers, and healthcare professionals with actionable knowledge to tackle silent epidemics using GAN-based tools.

Delivers real-world case studies that demonstrate GAN applications in diagnosing rare diseases, detecting antimicrobial resistance, and enhancing medical imaging
Integrates interdisciplinary perspectives from medicine, AI, ethics, and policy to provide a holistic view of AI-driven healthcare innovation
Explores emerging technologies such as synthetic data generation, wearable diagnostics, and AI-enhanced telemedicine for future-ready healthcare solutions

Produktinformation

Utgivningsdatum:2027-01-01
Mått:191 x 235 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:320
Förlag:Elsevier Science
ISBN:9780443444371

Utforska kategorier

Biologi inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin
Artificiell intelligens inom Data och IT

Mer om författaren

Abhishek Kumar is Assistant Director and Professor in the Department of Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. in Computer Science from the University of Madras and is currently a Post-Doctoral Fellow with the Ingenium Research Group, Universidad de Castilla-La Mancha, Ciudad Real, Spain. He received his M.Tech in Computer Science and Engineering and B.Tech in Information Technology from Rajasthan Technical University, Kota, India. He has over thirteen years of academic teaching experience. His research interests include artificial intelligence, computer vision, image processing, data mining, machine learning, and renewable energy systems. He has authored and edited several books with leading international publishers and serves as a reviewer for reputed journals. Dr. Pramod Singh Rathore is currently an Assistant Professor in the Department of Computer and Communication Engineering at Manipal University Jaipur, in India. He completed his PhD in computer science and engineering at the University of Engineering and Management (UEM), Jaipur, India. With over 12 years of academic teaching experience, he has more than 85 publications in peer-reviewed national and international journals, books, and conferences. He has co-authored or co-edited numerous books with well-known publishers. Dr. Singh Rathore’s research interests include NS2, computer networks, mining, and DBMS. He serves on the editorial and advisory committees of the Global Journal Group and is also a member of various national and international professional societies in the fields of engineering and research, including the ACM and International Association of Engineers (IAENG).

Innehållsförteckning

Section I: Silent Threats in Global Health1. Antimicrobial Resistance: GAN-Driven Analysis and Classification2. Rare Genetic Disorders: GAN-Based Diagnostic and Treatment Classification3. Neglected Tropical Diseases: GAN AI Applications in Disease Surveillance4. Microplastics and Health: GAN-Enabled Detection and Impact AssessmentSection II: Lifestyle and Environmental Influences5. Digital Eye Strain: AI-Powered Classification of Risk Levels6. Sedentary Lifestyle: GAN-Based Predictive Health Models7. Air Pollution: GAN AI Classification of Chronic Disease Risks8. Vitamin D Deficiency: AI-Driven Health Implication AssessmentsSection III: Innovative Diagnostic Approaches9. GAN-Based AI in Early Disease Detection10. AI and GANs in Point-of-Care Testing: Transforming Rural Health11. Wearable Technology and GAN-Powered Continuous Health Monitoring12. Molecular Diagnostics Enhanced by GAN AI: Precision Medicine in PracticeSection IV: Therapeutic Innovations13. Gene Therapy Guided by GAN-Based Predictive Models14. Personalized Immunotherapy with GAN AI in Cancer Treatment15. Nanomedicine Innovations Guided by GAN AI16. Telemedicine Enhanced by GAN AI: Bridging Healthcare Gaps GloballySection V: Social, Ethical, and Policy Perspectives17. Medical Misinformation: GAN AI-Based Detection and Solutions18. Ethical Dilemmas in GAN AI Medical Technologies19. Healthcare Accessibility and Equity: GAN AI Applications20. Policy Frameworks for GAN AI Integration in Addressing Silent Epidemics