AI-Powered Dermatology: Revolutionizing Skin Health Through Artificial Intelligence

Shirmohammad Tavangari, Sajjad Janfaza, Aref Yelghi, Shirin Emtenani (Herausgeber)

Buch | Hardcover

2026
Springer International Publishing (Verlag)
978-3-032-17974-6 (ISBN)

Noch nicht erschienen - erscheint am 22.04.2026
Versandkostenfrei
Auch auf Rechnung

Artikel merken

This book unveils the cutting-edge research, ethical insights, and practical applications that are shaping the future of skin health, from faster and more accurate diagnoses to innovative treatment strategies.
Artificial Intelligence is transforming dermatology like never before. A must-read for clinicians, researchers, and AI enthusiasts ready to explore the next frontier in dermatology.

Ethical Considerations and Challenges in AI Dermatology.- The Role of Artificial Intelligence in Atopic Dermatitis Research and Management.- Efficient Diagnosis of Psoriasis and Lichen Planus by Deep Learning.- Recent Breakthroughs in Artificial Intelligence for Dermatology.- AI Assisted Theoretical Modeling and Computational Design of Drug Delivery Systems for Enhanced Treatment of Skin Diseases A Review.- Artificial Intelligence for Dermatological Diagnosis and Care A Comprehensive Overview.

Erscheint lt. Verlag	22.4.2026
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	Approx. 280 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Medizinische Fachgebiete ► Dermatologie
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik
Schlagworte	AI-driven skincare • AI in personalized skin care • AI regulatory challenges • AI tools in clinical dermatology • Artificial Intelligence in Dermatology • Automated eczema monitoring • Computational Intelligence • Computer vision for skin health • Dermatology and AI integration • Machine learning in dermatology • Natural Language Processing in Healthcare • Precision dermatology • Skin cancer detection with AI
ISBN-10	3-032-17974-2 / 3032179742
ISBN-13	978-3-032-17974-6 / 9783032179746
Zustand	Neuware