The Therapeutic Applications of Machine Learning in Atopic Dermatitis: A Scoping Review

Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases

“…Interestingly, an ML-based analysis has been employed to identify alterations in keratinocyte transcriptomic programs in AD and the impact on them of various drugs including Dupilumab, for which ML analysis has been shown to predict indicators of nonresponse using clinical-demographic data as well as enabling a large-scale investigation regarding the impact of sleep-related adverse reactions to such a biological drug [48][49][50]. Regarding the therapeutic aspect, meanwhile, alongside recently reviewed applications of multiple ML models, an important contribution to precision medicine is offered by the most recent advances regarding the use of new DL-based models capable of generating new drug candidate molecules by employing disease-specific gene expression profiles [51,52]. An aspect entirely in step with the times of self-information and self-management, AI, through platforms such as Chat Generative Pre-Trained Transformer (ChatGPT) and specific mobile health apps, has also begun to play a key role in offering patients access to clinically accurate and inclusive information about this condition, however, not without psychopathological implications, especially in parents of children with AD [53][54][55][56].…”

Principles, applications, and future of artificial intelligence in dermatology

“…Similar to diagnostic tasks with psoriasis, many researchers have explored using machine learning algorithms in dermatitis ( 48 ), ranging from image-based algorithms ( 49 ) to electronic health record text-based algorithms ( 50 ). Aside from determining diagnoses, researchers have developed proof-of-concept algorithms using self-reported eczema flare scores, patient demographics and treatment history to predict atopic dermatitis severity, resulting in a biologically interpretable model that focuses on patient’s responsiveness to treatment ( 51 ).…”