AIMC Topic: Psoriasis

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Identification of characteristic genes and herbal compounds for the treatment of psoriasis based on machine learning and molecular dynamics simulation.

Journal of biomolecular structure & dynamics
Psoriasis brings economic and mental burdens to patients, the exact etiology and pathogenesis of psoriasis are still unclear. Compounds of herbal medicine have the potential for psoriasis treatment. This study aims to explore the characteristic genes...

Artificial intelligence in psoriasis: Where we are and where we are going.

Experimental dermatology
Artificial intelligence (AI) is a field of computer science that involves the development of programs designed to replicate human cognitive processes and the analysis of complex data. In dermatology, which is predominantly a visual-based diagnostic f...

Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection.

Sensors (Basel, Switzerland)
This study presents an enhanced deep learning approach for the accurate detection of eczema and psoriasis skin conditions. Eczema and psoriasis are significant public health concerns that profoundly impact individuals' quality of life. Early detectio...

Current developments and perspectives in psoriasis.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG
The study of psoriasis has yielded fundamental new insights into immunologic regulation and innovative therapies in a way that few other diseases have. In this review, we summarize the main features of current psoriasis research with emphasis on path...

DeepNAPSI multi-reader nail psoriasis prediction using deep learning.

Scientific reports
Nail psoriasis occurs in about every second psoriasis patient. Both, finger and toe nails can be affected and also severely destroyed. Furthermore, nail psoriasis is associated with a more severe course of the disease and the development of psoriatic...

Artificial Intelligence-Based Psoriasis Severity Assessment: Real-world Study and Application.

Journal of medical Internet research
BACKGROUND: Psoriasis is one of the most frequent inflammatory skin conditions and could be treated via tele-dermatology, provided that the current lack of reliable tools for objective severity assessments is overcome. Psoriasis Area and Severity Ind...

Evaluation of the area subscore of the Palmoplantar Pustulosis Area and Severity Index using an attention U-net deep learning algorithm.

The Journal of dermatology
Palmoplantar pustulosis (PPP) is a variant of pustular psoriasis involving the palms and soles. The severity of PPP is usually evaluated using the Palmoplantar Pustulosis Area and Severity Index (PPPASI). Among the components of the PPPASI, the area ...

Artificial intelligence for the automated single-shot assessment of psoriasis severity.

Journal of the European Academy of Dermatology and Venereology : JEADV
BACKGROUND: PASI score is globally used to assess disease activity of psoriasis. However, it is relatively complicated and time-consuming, and the score will vary due to the inconsistent subjectivity between dermatologists. Therefore, an AI system ca...

Measurement of Body Surface Area for Psoriasis Using U-net Models.

Computational and mathematical methods in medicine
During the evaluation of body surface area (BSA), precise measurement of psoriasis is crucial for assessing disease severity and modulating treatment strategies. Physicians usually evaluate patients subjectively through direct visual evaluation. Howe...