Use of Artificial Intelligence in Dermatology

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.

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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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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640800/

This is for informational purposes only. You should consult your clinical textbook for advising your patients.