ArticleJournal of psoriasis and psoriatic arthritis2020
Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review.
Article in Journal of psoriasis and psoriatic arthritis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Assessing the performance of artificial intelligence models in evaluating inflammatory skin disease severity: a systematic review and meta-analysis.The British journal of dermatology · 2025Pooled it
- A review of psoriasis image analysis based on machine learning.Frontiers in medicine · 2024Pooled it
- Cell-based therapies of autoimmune diseases in the context of artificial intelligence development.Clinical and experimental medicine · 2026Review
- Immunogenetics in psoriasis: towards personalised diagnosis and treatment strategies.Genes and immunity · 2026Review
- An Exploratory Transcriptomic Classification Model for Psoriasis Based on Apoptosis-Associated and Proliferation-Apoptosis-Coupled Genes Using Explainable Machine Learning.International journal of molecular sciences · 2026Article
- Artificial intelligence-enabled precision medicine for inflammatory skin diseases.The Journal of investigative dermatology · 2026Review
- Image Processing for Diagnosing Psoriasis: A Machine Learning Approach to Classify Skin Lesions into Psoriasis Subtypes.Medical journal of the Islamic Republic of Iran · 2026Article
- Intelligent Diagnosis and Treatment of Psoriasis Research: A Bibliometric Analysis from 2005-01-01 to 2025-12-31.Clinical, cosmetic and investigational dermatology · 2026Article
- Salivary Interleukins as Non-Invasive Biomarkers for Psoriasis: Advances and Challenges in Diagnosis and Monitoring.Medicina (Kaunas, Lithuania) · 2025Review
- Artificial Intelligence in the Histopathological Assessment of Non-Neoplastic Skin Disorders: A Narrative Review with Future Perspectives.Medical sciences (Basel, Switzerland) · 2025Review
- Digital twins in dermatology: a new era of personalized skin care.Frontiers in digital health · 2025Article
- Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.Frontiers in immunology · 2025Article
- Article
- CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis.Scientific reports · 2024Article
- Image-Based Artificial Intelligence in Psoriasis Assessment: The Beginning of a New Diagnostic Era?American journal of clinical dermatology · 2024Review
- Artificial Intelligence in the Diagnosis of Onychomycosis-Literature Review.Journal of fungi (Basel, Switzerland) · 2024Review
- Using Automated Machine Learning to Predict Necessary Upcoming Therapy Changes in Patients With Psoriasis Vulgaris and Psoriatic Arthritis and Uncover New Influences on Disease Progression: Retrospective Study.JMIR formative research · 2024Article
- Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases.Life (Basel, Switzerland) · 2024Review
- Predicting Psoriatic Arthritis in Psoriasis Patients - A Swiss Registry Study.Journal of psoriasis and psoriatic arthritis · 2024Article
- Single-cell analysis and machine learning identify psoriasis-associated CD8Frontiers in genetics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMachine learning (ML), a subset of artificial intelligence (AI) that aims to teach machines to automatically learn tasks by inferring patterns from data, holds significant promise to aid psoriasis care. Applications include evaluation of skin images for screening and diagnosis as well as clinical management including treatment and complication prediction.
objectiveTo summarize literature on ML applications to psoriasis evaluation and management and to discuss challenges and opportunities for future advances.
methodsWe searched MEDLINE, Google Scholar, ACM Digital Library, and IEEE Xplore for peer-reviewed publications published in English through December 1, 2019. Our search queries identified publications with any of the 10 computing-related keywords and "psoriasis" in the title and/or abstract.
resultsThirty-three studies were identified. Articles were organized by topic and synthesized as evaluation- or management-focused articles covering 5 content categories: (A) Evaluation using skin images: (1) identification and differential diagnosis of psoriasis lesions, (2) lesion segmentation, and (3) lesion severity and area scoring; (B) clinical management: (1) prediction of complications and (2) treatment.
conclusionMachine learning has significant potential to aid psoriasis evaluation and management. Current topics popular in ML research on psoriasis are the evaluation of medical images, prediction of complications, and treatment discovery. For patients to derive the greatest benefit from ML advancements, it is helpful for dermatologists to have an understanding of ML and how it can effectively aid their assessments and decision-making.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.