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Erschienen in: Current Dermatology Reports 4/2023

04.10.2023 | REVIEW

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

verfasst von: Ravi Kant Sharma, Manu Rashmi Sharma, Aneet Mahendra, Ujjawal Sharma, Simranjit Singh, Seema Ramniwas, Anil Kumar Sharma

Erschienen in: Current Dermatology Reports | Ausgabe 4/2023

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Abstract

Purpose 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.
Literatur
9.
Zurück zum Zitat Khan MA, Akram T, Zhang YD, Sharif M. Attributes based skin lesion detection and recognition: a mask RCNN and transfer learning-based deep learning framework. Pattern Recogn Lett. 2021;143:58–66.CrossRef Khan MA, Akram T, Zhang YD, Sharif M. Attributes based skin lesion detection and recognition: a mask RCNN and transfer learning-based deep learning framework. Pattern Recogn Lett. 2021;143:58–66.CrossRef
11.
Zurück zum Zitat • Yang Y, Wang J, Xie F, Liu J, Shu C, Wang Y, et al. A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists. Comput Biol Med. 2021;139:104924. https://doi.org/10.1016/j.compbiomed.2021.104924. This study described a CNN based on dermoscopic images as an efficient and accurate method to identify papulosquamous skin diseases. • Yang Y, Wang J, Xie F, Liu J, Shu C, Wang Y, et al. A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists. Comput Biol Med. 2021;139:104924. https://​doi.​org/​10.​1016/​j.​compbiomed.​2021.​104924. This study described a CNN based on dermoscopic images as an efficient and accurate method to identify papulosquamous skin diseases.
13.
Zurück zum Zitat • Aijaz SF, Khan SJ, Azim F, Shakeel CS, Hassan U. Deep Learning application for effective classification of different types of psoriasis. J Healthc Eng. 2022;15(2022):7541583. https://doi.org/10.1155/2022/7541583. This study demonstrated the potential of deep learning aproaches in accurate, reliable and effective classification of different psoriasis types and other skin diseases.CrossRef • Aijaz SF, Khan SJ, Azim F, Shakeel CS, Hassan U. Deep Learning application for effective classification of different types of psoriasis. J Healthc Eng. 2022;15(2022):7541583. https://​doi.​org/​10.​1155/​2022/​7541583This study demonstrated the potential of deep learning aproaches in accurate, reliable and effective classification of different psoriasis types and other skin diseases.CrossRef
17.
Zurück zum Zitat Simpson MJ, Chow C, Morgenstern H, Luger TA, Ellis CN. Comparison of three methods for measuring psoriasis severity in clinical studies (part 2 of 2): use of quality of life to assess construct validity of the Lattice System Physician’s Global Assessment, Psoriasis Area and Severity Index and Static Physician’s Global Assessment. J Eur Acad Dermatol Venereol. 2015;29(7):1415–20. https://doi.org/10.1111/jdv.12861.CrossRefPubMed Simpson MJ, Chow C, Morgenstern H, Luger TA, Ellis CN. Comparison of three methods for measuring psoriasis severity in clinical studies (part 2 of 2): use of quality of life to assess construct validity of the Lattice System Physician’s Global Assessment, Psoriasis Area and Severity Index and Static Physician’s Global Assessment. J Eur Acad Dermatol Venereol. 2015;29(7):1415–20. https://​doi.​org/​10.​1111/​jdv.​12861.CrossRefPubMed
18.
Zurück zum Zitat • Huang K, Wu X, Li Y, Lv C, Yan Y, Wu Z, et al. Artificial intelligence-based psoriasis severity assessment: real-world study and application. J Med Internet Res. 2023;16(25):e44932. https://doi.org/10.2196/44932. The authors proposed a valid image - artificial intelligence based model integrated into a mobile app for accurate severity assessment and long term self management of chronic disease in patients with psoriasis.CrossRef • Huang K, Wu X, Li Y, Lv C, Yan Y, Wu Z, et al. Artificial intelligence-based psoriasis severity assessment: real-world study and application. J Med Internet Res. 2023;16(25):e44932. https://​doi.​org/​10.​2196/​44932The authors proposed a valid image - artificial intelligence based model integrated into a mobile app for accurate severity assessment and long term self management of chronic disease in patients with psoriasis.CrossRef
21.
Zurück zum Zitat Savolainen L, Kontinen J, Röning J, Oikarinen A. Application of machine vision to assess involved surface in patients with psoriasis. Br J Dermatol. 1997;137(3):395–400.CrossRefPubMed Savolainen L, Kontinen J, Röning J, Oikarinen A. Application of machine vision to assess involved surface in patients with psoriasis. Br J Dermatol. 1997;137(3):395–400.CrossRefPubMed
26.
Zurück zum Zitat • Okamoto T, Kawai M, Ogawa Y, Shimada S, Kawamura T. Artificial intelligence for the automated single-shot assessment of psoriasis severity. J Eur Acad Dermatol Venereol. 2022;36(12):2512–5. https://doi.org/10.1111/jdv.18354. This research proposed a rapid and simple tool associated with AI models for automated assessment of PASI scores from a single clinical image.CrossRefPubMed • Okamoto T, Kawai M, Ogawa Y, Shimada S, Kawamura T. Artificial intelligence for the automated single-shot assessment of psoriasis severity. J Eur Acad Dermatol Venereol. 2022;36(12):2512–5. https://​doi.​org/​10.​1111/​jdv.​18354. This research proposed a rapid and simple tool associated with AI models for automated assessment of PASI scores from a single clinical image.CrossRefPubMed
Metadaten
Titel
Artificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasis
verfasst von
Ravi Kant Sharma
Manu Rashmi Sharma
Aneet Mahendra
Ujjawal Sharma
Simranjit Singh
Seema Ramniwas
Anil Kumar Sharma
Publikationsdatum
04.10.2023
Verlag
Springer US
Erschienen in
Current Dermatology Reports / Ausgabe 4/2023
Elektronische ISSN: 2162-4933
DOI
https://doi.org/10.1007/s13671-023-00408-6

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