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Skin Cancer

Skin Cancer

Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...

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Artificial intelligence in dermatology: the "unsupervised" learning.

P Acharya¹, M Mathur¹

¹College of Medical Sciences, Department of Dermatology, Bharatpur, Nepal, 44200.

The British Journal of Dermatology

|February 8, 2020

Summary

This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) offer new ways to manage skin conditions. Smartphones can be used with AI to improve dermatological disorder diagnosis and treatment.

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Area of Science:

Dermatology
Artificial Intelligence
Machine Learning

Background:

The application of artificial intelligence (AI) in dermatology is expanding.
High-resolution smartphone cameras and processing power enable new diagnostic tools.
Machine learning (ML) algorithms can analyze dermatological data effectively.

Discussion:

The review by Du-Harpur et al. simplifies AI's role in dermatology.
Understanding AI in dermatology is becoming accessible to clinicians.
This accessibility is crucial for adopting new technologies.

Key Insights:

AI and ML are increasingly relevant to dermatological practice.
Smartphones represent a readily available platform for AI-driven dermatological tools.
The utility of AI in managing dermatological disorders is significant.

Outlook:

Future applications of AI in dermatology are promising.
Integration of AI into clinical workflows could enhance patient care.
Continued research will likely uncover further uses for AI in skin health.