Harnessing artificial intelligence (A.I.) in the field of dermatology can make a great difference in improving the diagnosis of skin conditions, and personalizing treatment. Specific algorithms, drawing from large database information, can be designed to help the practitioner. Data can have the form of electronic medical records, clinical and histopathologic images, as well as translational data. This work fittingly titled Artificial Intelligence Applications in Dermatology - Dermatology ex Machina: Clinical applications is centred on the clinical perspectives of the use of A.I. in dermatology, will be a valued manual for dermatologists to understand the evolving landscape of A.I. in medicine. It presents a comprehensive outline of all different functionalities and possibilities of accessible A.I. programs, such as chatbots or image-based diagnostic tools, and their applications in treating skin conditions. Covering diverse aspects of clinical dermatology in dedicated chapters such as skin cancer, inflammatory dermatoses, and aesthetic medicine, this practical book offers various application options for A.I. technology in skin conditions, including prevention, diagnosis, personalized treatment, and follow-up strategies aiming to enhance a dermatologists' diagnostic skills, and treatment customization capabilities. By addressing cutting-edge technology in a clear, practical style especially thought for practitioners, this handy guide will assist dermatologists and clinicians of related disciplines in choosing the best treatment options for their patients.
Chapter
1. Artificial Intelligence (A.I.) main concepts: a glimpse
inside A.I. Black Box.- chapter
2. Dermatology: the ideal field for A.I. to
thrive.
Chapter
3. Pioneering AI in Dermatology Education: Recognizing the
Initial Milestone.
Chapter
4. Medicolegal issues arising from the Use of AI
in Dermatology.
Chapter
5. Bioethics in the use of AI in Dermatology.-
Chapter
6. Artificial Intelligence in Non-Melanoma Skin Cancer .
Chapter
7.
Melanoma and Artificial Intelligence.
Chapter
8. Non-cancerous lesions and
artificial intelligence.
Chapter
9. Psoriasis and Artificial Intelligence.-
Chapter
10. Atopic Dermatitis and Artificial Intelligence.
Chapter
11.
AI-powered approach of Acne.
Chapter
12. AI-powered approach of Rosacea.-
Chapter
13. Artificial Intelligence and Bullous Dermatoses .
Chapter
14.
Skin care guided by AI.
Chapter
15. Applications of toxin and fillers and AI
use.
Chapter
16. Laser application and AI.
Chapter
17. Hair disorders and
Artificial Intelligence.
Chapter
18. Nail disorders and AI.
Chapter
19.
Artificial Intelligence Promises and Successes in Dermatology.
Chapter
20.
Artificial Intelligence failures, bias and limitations in Dermatology.-
Chapter
21. Artificial Intelligence and Special Populations: Age
Considerations.
Chapter
22. Artificial Intelligence and Special Populations:
Skin of Color Considerations.
Chapter
23. Can Artificial Intelligence
replace dermatologists?.
Doctor Emmanouil Karampinis, MD, MSc, PhD is Academic Collaborator of Second Dermatology Department of Aristotle University of Thessaloniki, Greece, as well as Associate lecturer at the Dermatology department of University of Thessaly, Greece, and Tutor of USW postgraduate program of Clinical Dermatology, UK. He owns postgraduate certificates in the domain of clinical dermatology, pediatric dermatology, dermoscopy and aesthetic medicine, while his PhD focused on Photocarcinogenesis. His research mainly deals with the topics of post-COVID-19 vaccination cutaneous manifestations, dermoscopy, skin of colour, cutaneous oxidative stress disturbances and the incorporation of Artificial Intelligence into dermatological practices.
Doctor Efterpi Zafiriou, MD, MSc, PhD is an Associate Professor at the Department of Dermatology, Faculty of Medicine, School of Health Sciences at the University of Thessaly and Head of Dermatology Department at the University General Hospital in Larissa, Greece. Prof. Dr. Efterpi Zafirious research interests include Psoriasis, Atopic Dermatitis, Urticaria, Alopecia areata, Pyoderma gangrenosum, Therapeutic Outcomes, Skin cancer (NMSC), Melanoma, Systemic Oxidative Stress.
Doctor Dimitrios Mantzaris, MSc, PhD is Teaching Staff on Computational Intelligence and Health Informatics at the Department of Nursing, School of Health Sciences, University of Thessaly in Larissa, Greece. His research interest includes Computational Intelligence in Health Sciences, Generative Artificial Intelligence, Deep Learning, Convolutional Neural Networks, Genetic Algorithms and Large Language Model.
