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Updated: Apr 13, 2026
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The Goeckerman Regimen for the Treatment of Moderate to Severe Psoriasis
Published on: July 11, 2013
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Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review
Payton Smith1, Chandler E Johnson1, Kathryn Haran1
1Department of Dermatology, University of California San Francisco, San Francisco, CA, USA.
Current Dermatology Reports
|September 20, 2024
Summary
Machine learning (ML), a form of artificial intelligence (AI), is transforming psoriasis care by enhancing diagnosis, severity assessment, and personalized treatment strategies. Dermatologist oversight is crucial for integrating AI effectively into patient care.
Area of Science:
- Dermatology
- Artificial Intelligence
- Machine Learning
Background:
- Machine learning (ML), a subset of artificial intelligence (AI), has advanced fields like image classification and speech recognition.
- Integrating ML into clinical medicine, especially dermatology, represents a significant improvement in healthcare delivery.
Purpose of the Study:
- To review the impact of ML on psoriasis care, focusing on diagnosis, severity assessment, biomarker identification, precision medicine, and education.
- To explore how ML applications can improve patient outcomes, particularly in underserved areas.
Main Methods:
- Review of current literature on ML applications in dermatology concerning psoriasis.
- Analysis of ML's role in diagnosing psoriasis from clinical and dermoscopic images.
- Examination of ML for quantifying psoriasis severity and identifying biomarkers.
Main Results:
- ML aids in psoriasis diagnosis, severity quantification, and biomarker discovery.
- ML enhances precision medicine approaches and AI-driven educational strategies for psoriasis management.
- AI integration promises improved patient outcomes, especially where specialist care is limited.
Conclusions:
- The synergy between AI and human expertise is key to advancing dermatological treatments.
- ML offers potential for more accessible and precise personalized psoriasis care.
- Dermatologist supervision is essential to ensure ML's effective and ethical application in patient care.
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