AIMC Topic: Patch Tests
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Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology.
JMIR dermatology
Jun 2, 2025
BACKGROUND: The integration of artificial intelligence (AI) into patch testing for allergic contact dermatitis (ACD) holds the potential to standardize diagnoses, reduce interobserver variability, and improve overall diagnostic accuracy. However, the...
Preservative contact allergy in occupational dermatitis: a machine learning analysis.
Archives of dermatological research
Jun 8, 2024
Occupational dermatoses impose a significant socioeconomic burden. Allergic contact dermatitis related to occupation is prevalent among healthcare workers, cleaning service personnel, individuals in the beauty industry and industrial workers. Among r...
Diagnosing contact dermatitis using machine learning: A review.
Contact dermatitis
Jun 3, 2024
BACKGROUND: Machine learning (ML) offers an opportunity in contact dermatitis (CD) research, where with full clinical picture, may support diagnosis and patch test accuracy.
Demonstration of Convolutional Neural Networks to Determine Patch Test Reactivity.
Dermatitis : contact, atopic, occupational, drug
Sep 12, 2023
Convolutional neural networks (CNNs) have the potential to assist allergists and dermatologists in the analysis of patch tests. Such models can help reduce interprovider variability and improve consistency of patch test interpretations. Our aim is ...
Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis.
Proceedings of the National Academy of Sciences of the United States of America
Dec 14, 2020
Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagnostic regimes rely on allergy testing, exposure specification, and follow-up visits; however, distinguishing the clinical phenotype of irritant and all...
Dermatitis, Allergic Contact
Patch Tests
Gene Expression Regulation
Machine Learning
Irritants
Dermatitis, Irritant
Algorithms
Female
Reproducibility of Results
Databases, Genetic
Biomarkers
Humans
Diagnosis, Differential
Leukocytes
Severity of Illness Index
Skin
Adult
Transcriptome
Allergens
Male
Gene Regulatory Networks
Positive reactions to pairs of allergens associated with polysensitization: analysis of IVDK data with machine-learning techniques.
Contact dermatitis
Apr 1, 2017
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