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Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
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First review on psoriasis severity risk stratification: An engineering perspective.
Vimal K Shrivastava1, Narendra D Londhe2, Rajendra S Sonawane3
1Electrical Engineering Department, National Institute of Technology, Raipur, India.
Computers in Biology and Medicine
|May 26, 2015
Summary
Computer-aided diagnosis (CAD) systems offer promising solutions for assessing and stratifying psoriasis, a widespread skin condition. This review examines CAD technologies for psoriasis risk assessment, highlighting current practices and challenges.
Area of Science:
- Dermatology
- Medical Informatics
- Computer Science
Background:
- Psoriasis affects 125 million people globally, necessitating advanced diagnostic tools.
- Computer-aided diagnosis (CAD) systems are increasingly utilized for dermatologic disease characterization.
- Existing literature lacks a comprehensive review of technology for psoriasis assessment.
Purpose of the Study:
- To provide the first state-of-the-art review of technology solicitation in psoriasis.
- To examine current practices, challenges, and assessment techniques for psoriasis using CAD.
- To analyze clinical parameters of the Psoriasis Area and Severity Index (PASI).
Main Methods:
- In-depth literature review focusing on CAD systems and psoriasis.
- Examination of clinical parameters: area, erythema, scaliness, and thickness.
- Analysis of CAD system design components: feature extraction, selection, and performance evaluation.
Main Results:
- CAD systems show potential for objective assessment of psoriasis severity.
- Review identifies key challenges and assessment techniques in current psoriasis CAD technology.
- Decision support systems can aid in risk stratification for large psoriasis populations.
Conclusions:
- CAD systems are a promising tool for psoriasis risk stratification and assessment.
- Further development and validation of CAD systems are crucial for clinical integration.
- Technology plays a vital role in improving psoriasis management and patient outcomes.
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