Artificial Intelligence Applications in Dermatology : Dermatology ex Machina: Clinical applications
Book Details
Format
Hardback or Cased Book
ISBN-10
3032156130
ISBN-13
9783032156136
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 14th, 2026
Print length
403 Pages
Ksh 21,600.00
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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.
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.
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