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

Articolo
Data di Pubblicazione:
2024
Abstract:
: Immuno-correlated dermatological pathologies refer to skin disorders that are closely associated with immune system dysfunction or abnormal immune responses. Advancements in the field of artificial intelligence (AI) have shown promise in enhancing the diagnosis, management, and assessment of immuno-correlated dermatological pathologies. This intersection of dermatology and immunology plays a pivotal role in comprehending and addressing complex skin disorders with immune system involvement. The paper explores the knowledge known so far and the evolution and achievements of AI in diagnosis; discusses segmentation and the classification of medical images; and reviews existing challenges, in immunological-related skin diseases. From our review, the role of AI has emerged, especially in the analysis of images for both diagnostic and severity assessment purposes. Furthermore, the possibility of predicting patients' response to therapies is emerging, in order to create tailored therapies.
Tipologia CRIS:
14.a.1 Articolo su rivista
Keywords:
alopecia areata; artificial intelligence; atopic dermatitis; autoimmune disease; hidradenitis suppurativa; inflammation; machine learning; psoriasis; skin; vitiligo
Elenco autori:
Li Pomi, Federica; Papa, Vincenzo; Borgia, Francesco; Vaccaro, Mario; Pioggia, Giovanni; Gangemi, Sebastiano
Autori di Ateneo:
BORGIA Francesco
GANGEMI Sebastiano
PIOGGIA GIOVANNI
VACCARO Mario
Link alla scheda completa:
https://iris.unime.it/handle/11570/3341043
Pubblicato in:
LIFE
Journal
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