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

被引：6

作者：

Li Pomi, Federica ^{[1
]}

Papa, Vincenzo ^{[2
]}

Borgia, Francesco ^{[3
]}

Vaccaro, Mario ^{[3
]}

Pioggia, Giovanni ^{[4
]}

Gangemi, Sebastiano ^{[2
]}

机构：

[1] Univ Palermo, Dept Precis Med Med Surg & Crit Care Me Pre C C, I-90127 Palermo, Italy

[2] Univ Messina, Sch Operat Unit Allergy & Clin Immunol, Dept Clin & Expt Med, I-98125 Messina, Italy

[3] Univ Messina, Dept Clin & Expt Med, Sect Dermatol, I-98125 Messina, Italy

[4] Natl Res Council Italy CNR, Inst Biomed Res & Innovat IRIB, I-98164 Messina, Italy

来源：

LIFE-BASEL | 2024年 / 14卷 / 04期

基金：

英国科研创新办公室;

关键词：

artificial intelligence; machine learning; skin; autoimmune disease; inflammation; atopic dermatitis; psoriasis; vitiligo; alopecia areata; hidradenitis suppurativa; NEURAL-NETWORKS; PSORIASIS; DERMATITIS; IMAGES; SEVERITY; CLASSIFICATION; ERYTHEMA;

D O I：

10.3390/life14040516

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：17

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