ArticleDiagnostics (Basel, Switzerland)2022
Melanoma Detection by Non-Specialists: An Untapped Potential for Triage?
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Efficacy of 4% 5-Fluorouracil Cream in the Treatment of Actinic Keratoses: A Single-Center Experience.Journal of clinical medicine · 2026Article
- Multi-task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Article
- Review
- A Comparison of Skin Lesions' Diagnoses Between AI-Based Image Classification, an Expert Dermatologist, and a Non-Expert.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection.Scientific data · 2024Article
- Comparison of Ophthalmologists versus Dermatologists for the Diagnosis and Management of Periorbital Atypical Pigmented Skin Lesions.Journal of clinical medicine · 2024Article
- Diagnosis of Skin Cancer: From the Researcher Bench to the Patient's Bedside.Journal of clinical medicine · 2024Article
- Assessment of Primary Care Physicians' Expertise of Common Dermatological Conditions in the Jouf Region, Saudi Arabia: A Mixed Methods Study.Healthcare (Basel, Switzerland) · 2023Article
- Advances in Early Detection of Melanoma and the Future of At-Home Testing.Life (Basel, Switzerland) · 2023Review
- MicroRNA-155 and Disease-Related Immunohistochemical Parameters in Cutaneous Melanoma.Diagnostics (Basel, Switzerland) · 2023Article
- AI-Assisted Dermatology in Provider Shortage Areas: A Systematic Review of Access and Wait Time Outcomes.The Journal of clinical and aesthetic dermatologyReview
- Explainable Ensemble Learning With Stain Normalization and Deep Feature Extraction for Acute Lymphoblastic Leukaemia Classification.Healthcare technology lettersArticle
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
introductionThe incidence of melanoma increased considerably in recent decades, representing a significant public health problem. We aimed to evaluate the ability of non-specialists for the preliminary screening of skin lesions to identify melanoma-suspect lesions. MATERIALS AND
methodsA medical student and a dermatologist specialist examined the total body scans of 50 patients.
resultsThe agreement between the expert and the non-specialist was 87.75% (κ = 0.65) regarding the assessment of clinical significance. The four parameters of the ABCD rule were evaluated on the 129 lesions rated as clinically significant by both observers. Asymmetry was evaluated similarly in 79.9% (κ = 0.59), irregular borders in 74.4% (κ = 0.50), color in 81.4% (κ = 0.57), and diameter in 89.9% (κ = 0.77) of the cases. The concordance of the two groups was 96.9% (κ = 0.83) in the case of the detection of the Ugly Duckling Sign.
conclusionsAlthough the involvement of GPs is part of routine care worldwide, emphasizing the importance of educating medical students and general practitioners is crucial, as many European countries lack structured melanoma screening training programs targeting non-dermatologists.
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