Artificial Intelligence (AI) is fast emerging in the field of
dermatology. It can revolutionize patient care, particularly in improving the
sensitivity and accuracy of screening of skin lesions including malignancies.
TAKE HOME MESSAGE
AI is a relatively new frontier in
dermatology, evolving rapidly to aid dermatologists in disease diagnosis.
Dermatology, with its extensive image
database, is at the forefront of AI implementation in medicine.
Machine learning aids dermatologists
in disease diagnosis, particularly in conditions like malignant melanoma.
Understanding AI is crucial for
dermatologists, as it transforms disease diagnosis and shapes the future of
medical studies in dermatology.
In the last decade or so, AI is
gradually finding its relevance in different fields of dermatology including
skin cancer, eczema, onychomycosis and psoriasis.
The diagnosis and classification of
skin diseases require comprehensive consideration of patient history, gender,
age, and other information beyond photographs.
The use of AI in dermatology can help in clinical assessment and in the choice of personalized treatment protocols and outcome predictions.
CONCLUSION
In an endnote, physicians should not perceive AI as a
potential threat to their skills; rather it can be an adjunct to clinical
practice in the coming years. An understanding of AI concepts will help
practicing dermatologists to deliver better skin care.
Artificial intelligence (AI) has
emerged as a major frontier in computer science research. Although AI has been
available for some time and found its application in many fields of medicine,
its use in dermatology is comparatively new and limited. A sound understanding
of the concepts of AI is essential for dermatologists as skin conditions with
their abundant clinical and dermatoscopic data and images can potentially be
the next big thing in the application of AI in medicine. There are already a
number of artificial intelligence studies focusing on skin disorders, such as
skin cancer, psoriasis, atopic dermatitis and onychomycosis. This article
presents an overview of AI and new developments relevant to dermatology,
examining both its current applications and future potential.
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