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Reliable and easy-to-use calculating tool for the Nail Psoriasis Severity Index using deep learning
Hiroto Horikawa1, Keiji Tanese1, Naoki Nonaka2
1Department of Dermatology, Keio University School of Medicine. 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
NPJ Systems Biology and Applications
|November 7, 2024
Summary
A new deep learning tool, the "NAPSI calculator," accurately assesses nail psoriasis severity. This AI-powered approach improves upon the traditional Nail Psoriasis Severity Index (NAPSI) by reducing variability in clinical evaluations.
Area of Science:
- Dermatology
- Artificial Intelligence
- Medical Imaging
Background:
- Nail psoriasis significantly impacts patients' daily lives, necessitating accurate therapeutic evaluation.
- The established Nail Psoriasis Severity Index (NAPSI) is validated but suffers from interobserver variability, limiting its clinical utility.
Purpose of the Study:
- To develop a reliable and accurate NAPSI scoring tool utilizing deep learning.
- To create an AI-driven system, the "NAPSI calculator," for objective nail psoriasis assessment.
Main Methods:
- The study involved developing a two-part deep learning tool: nail detection from images and NAPSI scoring.
- Expert nail dermatologists annotated the NAPSI scores, providing a gold standard for training and validation.
Main Results:
- The "NAPSI calculator" demonstrated high accuracy, correctly locating 137/138 nails in the test set.
- The tool achieved superior NAPSI scoring accuracy (83.9%) compared to non-expert residents (65.7%) and non-nail expert dermatologists (73.0%).
Conclusions:
- The AI-powered "NAPSI calculator" offers a reliable and accurate method for assessing nail psoriasis.
- This tool has the potential to enhance clinical practice and improve patient care for nail psoriasis.
