Artificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasis

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dc.contributor.authorSharma, Ravi Kant
dc.contributor.authorSharma, Manu Rashmi
dc.contributor.authorMahendra, Aneet
dc.contributor.authorSharma, Ujjawal
dc.contributor.authorSingh, Simranjit
dc.contributor.authorRamniwas, Seema
dc.contributor.authorSharma, Anil Kumar
dc.date.accessioned2024-01-21T10:54:18Z
dc.date.accessioned2024-08-14T07:41:02Z
dc.date.available2024-01-21T10:54:18Z
dc.date.available2024-08-14T07:41:02Z
dc.date.issued2023-10-04T00:00:00
dc.description.abstractPurpose of Review: As we know, psoriasis is the most prevalent chronic inflammatory skin condition due to aberrant immune response which is characterized by clearly demarcated red or pink thick raised skin plaques sometimes covered with dry thin silvery white scales, formed due to the cytokine-driven hyperproliferation of epidermal keratinocytes. The abnormal functioning of immune-inflammatory pathways can cause various systemic conditions including cardiovascular diseases, chronic renal disease, and metabolic syndrome. Recent Findings: In comparison to other dermatological conditions, psoriasis has greater impact on the mental health of patients leading to increased risk of psychiatric comorbidities such as depression and anxiety.�The Articial intellingence could automate the analysis and provide contextual relevance, enhance clinical reliability,�assist the clinicians in communicating objectively, minimize human fatigue related errors, decrease mortality rates,�save medical expenditures and help in easy and early diagnosis of diseases including psoriasis. Summary: Therefore, development of better approaches for the diagnosis of psoriasis and determination of its classification type and severity are necessary for disease control and management and are the need of the hour. The artificial intelligence (AI) applications in medicine and healthcare are recently emerging due to advanced computing technologies and availability of abundant data on a variety of diseases including psoriasis. Hence, AI will certainly be a boon for the early detection and management of psoriasis patients necessitating further research in this area. � 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.identifier.doi10.1007/s13671-023-00408-6
dc.identifier.issn21624933
dc.identifier.urihttp://10.2.3.109/handle/32116/4273
dc.identifier.urlhttps://link.springer.com/10.1007/s13671-023-00408-6
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.subjectArtificial intelligenceen_US
dc.subjectComputing technologiesen_US
dc.subjectDiagnosisen_US
dc.subjectDisease severityen_US
dc.subjectHealthcareen_US
dc.subjectPsoriasisen_US
dc.titleArtificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasisen_US
dc.title.journalCurrent Dermatology Reportsen_US
dc.typeReviewen_US
dc.type.accesstypeClosed Accessen_US

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