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Related Experiment Video

Updated: Jan 9, 2026

Artificial Intelligence Approaches to Assessing Primary Cilia

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Comment on Artificial Intelligence in Trichology.

Ralph Michel Trüeb¹

¹Center for Dermatology and Hair Diseases Professor Trüeb, University of Zurich, Zurich, Switzerland.

International Journal of Trichology

|December 5, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) shows promise in trichoscopy for automated image analysis. However, its current effectiveness in medical practice is limited, and AI should not replace physician expertise.

Keywords:

Algorithms artificial intelligence automated image analysis trichoscopy

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Area of Science:

Dermatology
Trichology
Medical Informatics

Background:

Artificial intelligence (AI) has evolved significantly since its inception, influencing automation and data-driven decisions in healthcare.
The European Academy of Dermatology and Venereology Spring Symposium 2024 highlighted AI's role in dermatology, particularly in trichoscopy.
Trichoscopic images are of interest for AI-driven automated medical image analysis due to standardized imaging and limited diagnoses.

Purpose of the Study:

To evaluate the contribution and practical utility of AI in trichoscopy.
To discuss the impact of AI-driven diagnostic algorithms on physician clinical reasoning.
To assess the readiness of AI technology for widespread adoption in medical practice.

Main Methods:

Review of AI applications in trichoscopy and dermoscopy.
Analysis of the effectiveness of computer-assisted diagnostic tools.
Discussion on the integration of AI into clinical workflows and its impact on physician decision-making.

Main Results:

AI shows potential in automated analysis of trichoscopic images.
Costly, multi-parameter AI analysis in trichoscopy is currently least effective in medical practice.
Diagnostic algorithms may discourage independent physician thinking and creativity.

Conclusions:

AI's utility in trichoscopy requires further experimentation and practical experience before widespread adoption.
Machines cannot replace the critical thinking and diagnostic acumen of a physician.
Over-reliance on AI may erode physician confidence and the art of medical practice.