Artificial Intelligence in Dermatological Disorders

Diagnosis to Personalized Treatment Approaches
1. Auflage 2026
ISBN: 978-981-5352-53-5
Verlag: Jenny Stanford Publishing

Buch, Englisch, 508 Seiten, Format (B × H): 152 mm x 229 mm

This book explores the transformative role of artificial intelligence (AI), machine learning, and deep learning in dermatology. It examines the integration of AI-driven technologies in the diagnosis, classification, and management of a wide range of dermatological conditions, including psoriasis, vitiligo, wound healing, skin infections, and skin cancer. The book also highlights advances in predictive modeling, AI-assisted image analysis, teledermatology, and psychodermatology while addressing the ethical, legal, and regulatory aspects. It is a comprehensive resource for researchers, clinicians, and students seeking insights into AI-powered dermatological practice, innovation, and personalized patient care.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Madan, Ayush

Ashique, Sumel

Hossain, Chowdhury Mobaswar

Mantry, Shubhrajit

Fachgebiete

• Technische Wissenschaften Technik Allgemein Nanotechnologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Dermatologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Preface 1. Artificial Intelligence, Machine Learning, and Deep Learning in Dermatological Disorders: An Overview 2. Automated Detection of Dermatological Disorders: AI-Assisted Image Processing and Machine Learning 3. Artificial Intelligence in Dermatopathology: Revolutionizing Histological Analysis 4. AI-Driven Genomic and Proteomic Insights in Dermatological Disorders 5. Artificial Intelligence in Inflammatory Skin Disorders 6. Artificial Intelligence in Psoriasis: From Diagnosis to Personalized Treatment 7. Artificial Intelligence in Skin Cancer: From Diagnosis to Personalized Treatment 8. Artificial Intelligence in Vitiligo: From Diagnosis to Personalized Treatment 9. Artificial Intelligence in Skin Infections: From Diagnosis to Personalized Treatment 10. Artificial Intelligence in Wound Healing: From Diagnosis to Personalized Treatment 11. Artificial Intelligence in Pediatric Dermatology: Addressing Unique Challenges 12. Artificial Intelligence and Telehealth in Psychodermatology: From Diagnosis to Personalized Treatment 13. AI-Driven Personalized Dermatological Therapies: Bridging Clinical Data with Predictive Analytics 14. AI-Enabled Predictive Models for Dermatological Disease Progression 15. Future Directions of Artificial Intelligence in Dermatology: Emerging Technologies and Innovations 16. Integrating Artificial Intelligence into Dermatological Education and Clinical Training

Über Autor(innen)

Ayush Madan is an assistant professor at the Department of Biotechnology, School of Research and Technology, People’s University, Bhopal, India. His research interests encompass nanobiotechnology, the biomedical applications of nanoparticles, and AI-driven innovations in biosciences. He has authored numerous research and review articles in national and international journals and has edited several scholarly books published by reputed international publishers. His collaborative and interdisciplinary research approach integrates biotechnology, data science, and medical technology to develop innovative solutions for contemporary healthcare challenges.

Sumel Ashique is a research scholar at Lovely Professional University, Punjab, India, and serves as an Assistant Professor at Bharat Technology, West Bengal, India. With over four years of teaching experience, his research interests span drug delivery systems, nanotechnology, and targeted therapeutics. He has authored more than 80 scientific publications, contributed over 20 book chapters, secured five patents, and serves as editor for more than 20 international books in his areas of expertise.

Chowdhury Mobaswar Hossain, MPharm (gold medalist), PhD (Jadavpur University), and postdoctoral fellow (University of Florida, USA), is a professor, founding head of the Department of Pharmaceutical Technology, and coordinator of the Centre for Health Care Technology at MAKAUT, West Bengal, India. He is a recipient of the prestigious DST-INSPIRE fellowship and the Best Teacher Award (2017). His scholarly contributions include several patents, and his research focuses on drug discovery and therapeutic development for cancer, diabetes, and infectious diseases.

Shubhrajit Mantry is a professor and dean at the Department of Pharmacy, Sarala Birla University, Ranchi, Jharkhand, India. He completed his undergraduate and postgraduate studies at Utkal University, Odisha, and earned his PhD from Bhagwant University, Rajasthan. He has authored 12 national and 2 international books and has published more than 70 research articles in reputed national and international journals indexed in UGC-CARE, Web of Science, SCI, and Scopus. He has published and been granted 32 patents across several countries, including India, Australia, South Africa, the Philippines, Germany, and the United Kingdom. Throughout his academic career, Dr Mantry has supervised 25 postgraduate and 40 undergraduate students. His research interests include novel drug delivery systems, nanotechnology, and advanced pharmaceutical technologies. He is a life member of the Association of Pharmaceutical Teachers of India (APTI) and the Indian Pharmaceutical Association (IPA). He has organized several national and international conferences and has conducted more than 20 webinars for the pharmacy profession, contributing significantly to academic and professional development in the field.