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

Overview

Journal Life (Basel)

Specialty Biology

Date 2024 Apr 27

PMID 38672786

Authors

Federica Li Pomi

Vincenzo Papa

Francesco Borgia

Mario Vaccaro

Giovanni Pioggia

Sebastiano Gangemi

Affiliations

Soon will be listed here.

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.

Citing Articles

Artificial intelligence in assisting pathogenic microorganism diagnosis and treatment: a review of infectious skin diseases.

Han R, Fan X, Ren S, Niu X Front Microbiol. 2024; 15:1467113.

PMID: 39439939 PMC: 11493742. DOI: 10.3389/fmicb.2024.1467113.

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