ISSN: 1859 - 2872
Evaluation of the value of an experimental artificial intelligence software in supporting the diagnosis of psoriasis and atopic dermatitis at 108 Military Central Hospital
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Abstract
Objective: To preliminarily evaluate the diagnostic support capability of an experimental artificial intelligence (AI) software for psoriasis and atopic dermatitis. Subject and method: A cross-sectional descriptive study was conducted on 60 patients (30 with psoriasis and 30 with atopic dermatitis) who attended 108 Military Central Hospital from April 2024 to April 2025. Clinical images of skin lesions were collected, labeled, and processed for diagnostic analysis using the experimental AI software. The diagnostic results for psoriasis and atopic dermatitis generated by the AI system were compared with expert diagnoses to determine the sensitivity and accuracy in subtype recognition. Result: The AI model demonstrated sensitivities of 90% and 100% for psoriasis and atopic dermatitis, respectively. The accuracy of disease subtype recognition achieved 100% for psoriasis and 86.67% for atopic dermatitis. Conclusion: Preliminary results indicate that the experimental AI software shows high sensitivity in supporting the diagnosis of psoriasis and atopic dermatitis. Further large-scale studies with control groups are needed to comprehensively assess the accuracy and applicability of the system.
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References
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