Artificial Intelligence Applications in Dermatology

Artificial Intelligence Applications in Dermatology portes grátis

Artificial Intelligence Applications in Dermatology

Dermatology ex Machina: Clinical applications

Zafiriou, Efterpi; Karampinis, Emmanouil; Mantzaris, Dimitrios

Springer Nature Switzerland AG

05/2026

382

Dura

Inglês

9783032156136

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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?.
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skin cancer;inflammatory dermatoses;psoriasis;Dermatology technology;artificial intelligence;acne;Skin imaging;aesthetic medicine;medicolegal issues ;automatic technology;precision healthcare;deep learning;machine learning;digital healthcare;GDPR