دانلود کتاب کاربردهای هوش مصنوعی در پوست شناسی -کاربردهای بالینی پوست شناسی ex Machina

The integration of Artificial Intelligence (AI) into our everyday life is undeniable. AI has affected how we manage tasks, how we create texts, and how we make calculations. The world of medicine is not an exception to this change, and particularly Dermatology, which is a specialty based mainly on image patterns and visual assessment. As a result, this book was created to simplify how AI works, to show what AI applications can offer to our specialty, and to provide practical guidance on how AI can perform different tasks on multiple skin entities, ranging from skin cancer (melanoma, non-melanoma skin cancer (NMSC), and skin cancer mimickers) to inflammatory dermatoses (psoriasis, atopic dermatitis, acne, rosacea, and bullous dermatoses) and skin appendage disorders (nail diseases and alopecia). Cosmetic dermatology and laser applications treatments are also explored. This book serves as an invaluable textbook to all dermatologists, who want to know more about AI technology and how this technological swift can affect Dermatology approach and enhance their clinical practice. The book begins with Part I—which focuses on AI fundamental principles and the social impact of AI-powered Dermatology across various dimensions (Dermatology education, legal framework of AI, the important aspect of ethics, and the patient-dermatologist relationship dynamics that seem to be altered by AI). The reader firstly would encounter the basic concepts of AI technology and would understand how AI operates in a clear manner (principles of machine and deep learning, large language models, etc.) (Chap. 1). This section also explains how AI models can “read” skin images and conclude to a result based on their training. This proves why Dermatology is the ideal field for AI to thrive (Chap. 2). Worth mentioning is that Chap. 1 presents a glossary table, containing terms used in AI technology that readers might need clarification on if they come across them in other parts of the book. Chapter 3 centers on how AI changes the way Dermatology is educated, from learning process to teaching methods within the specialty. Chapter 4 highlights the legal parameters that must be respected as well as the legal boundaries that dermatologists should not exceed when using AI technology in their specialty. Chapter 5 scope is the ethics part that should always be considered, and dermatologists should not forget that machine cannot replace the invaluable human element in patient’s care. Part II examines the AI contribution to skin cancer approach, mainly diagnosis as well as treatment and patient monitoring. Chapter 6 provides practical examples of AI assistance in NMSC patients while Chap. 7 reports a detailed presentation of AI advancements in melanoma diagnosis, with AI models achieving great efficacy in skin cancer detection and AI becoming an invaluable assistant to dermatologists. Chapter 8 presents examples and studies on skin cancer mimickers that stand mainly as control cases and demonstrates the ability of AI models to distinguish between malignant and benign skin lesions. Part III moves to inflammatory dermatoses (psoriasis (Chap. 9), atopic dermatitis (Chap. 10), acne (Chap. 11), rosacea (Chap. 12), and bullous dermatoses (Chap. 13)) with a focus on the AI subjective severity assessment of those diseases. AI differentiation abilities especially in case of challenging cases of inflammatory skin as well as its use in clinical evaluation are also presented. Personalized medicine and AI-tailored dermatology are also topics explained with examples of real-world patients being benefiting from the cooperation of AI and dermatologists. Part IV steps into the world of cosmetic applications, skin treatment strategies, and the ways that AI can assist in those areas. Chapters 14 and 15 explain how AI models can pre-assess skin quality, identify skin needs, and propose personalized skin-care plan. The area of injection treatments is also benefited as the “Book before you look” concept, with AI-crafted simulations of AI that predicts how the patient would look after a specific treatment or procedure redefines care methods. Chapter 16 underlines the AI integration into laser applications and shows glimpses of the technology revolution of Dermatology that awaits! Part V (Chaps. 17 and 18) presents the AI developments into alopecia and nail disorders approach facilitating patients’ care and follow-up. For example, the AI-automated counting of hair follicles saves practitioners substantial amount of time. Part VI is the final section of the book focusing on the successes (Chap. 19) that AI has achieved so far (great diagnosis accuracy, subjective assessment, personalized approach, and easy-to-reach AI models and chatbots) as well as the limitations (Chap. 20) that AI present in every skin disease and in every aspect of Dermatology practice that dermatologists should be aware of (overdiagnosis, hallucinations, and bias). Toward this direction, Chaps. 21 and 22 present data regarding limitations on the context of age and skin of color parameters and emphasizes the need for more population specific AI model training. Chapter 23 includes reports of a dermatologist, a bioengineer, a law expert, and an AI chatbot discussing whether AI would replace dermatologists. They conclude that is highly unlikely but dermatologists with AI knowledge and expertise have the potential to replace the ones who do not possess that skill. Only time will tell!