Cited by 83Cutaneous Melanoma Detection and ManagementTelemedicine and Telehealth ImplementationAI in cancer detection

Teledermatology: idea, benefits and risks of modern age - a systematic review based on melanoma

Open access
Pala, Paulina, Bergler-Czop, Beata S., Gwiżdż, Jakub·2020·Advances in Dermatology and Allergology

Abstract

Telemedicine may be described as a modern technology supporting health care at a distance. Dermatology, as a visually-dependent specialty, is particularly suited for this kind of the health care model. This has been proven in a number of recent studies, which emphasized feasibility and reliability of teledermatology. Many patients in the world still do not have access to appropriate dermatological care, while skin cancers morbidity is on an upward trend. Technological development has enabled clinicians to care for diverse patient populations in need of skin expertise without increasing their overhead costs. Teledermatology has been used for various purposes: health care workers can use this technology to provide clinical services to patients, to monitor patient health, to consult with other health care providers and to provide patients with access to educational resources. It seems that teledermatology might be the answer to numerous issues concerning diagnosing, screening and managing cancers as well as pigmented skin lesions.

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Registry

Crossref · 10.5114/ada.2020.94834

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51 of 51 references verified0 citation errors · 0 not checkable

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  • Teledermatology's diagnostic reliability across communication platforms and types, and its efficacy for evaluating different skin conditions, remains uncertain.

    “In addition, its diagnostic reliability across communication platforms and types, as well as its efficacy for evaluating different skin conditions remains uncertain (13).”

    From Diagnostic accuracy of teledermatology for skin diseases: a systematic review and meta-analysis (2026) · cites this paper as [13]

    The Clinical section questions diagnostic accuracy for conditions such as psoriasis, atopic dermatitis and actinic keratosis, and identifies limits of the store-and-forward model. But the Evidence supporting the use of teledermatology section reports diagnostic concordance for both store-and-forward and real-time video modalities. The source supports condition- and modality-specific limitations, not a general claim that reliability across platforms remains uncertain. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 5

  1. [10]10. Richard MA, Grob JJ, Avril MF, et al. Delays in diagnosis and melanoma prognosis (II): the role of doctors. Int J Cancer 2000; 89: 280-5.
  2. [17]17. Resneck Jr J, Kimball AB. The dermatology workforce short- age. Presented in part at the 61 st Annual Meeting of the American Academy of Dermatology, San Francisco, Calif, 2003; 50: 50-4.
  3. [22]22. Rigel DS, Friedman RJ, Kopf AW. Surgical margins for remov- al of dysplastic nevi. J Dermatol Surg Oncol 1985; 11: 745.
  4. [27]27. Kittler H, Pehamberger H, Wolff K, Binder M. Diagnostic ac- curacy of dermoscopy. Lancet Oncol 2002; 3: 159-65.
  5. [52]52. Kaliyadan F. Teledermatology update: mobile teledermatol- ogy. World J Dermatol 2013; 2: 11-5.

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Authors
Pala, P., Bergler-Czop, B. S., & Gwiżdż, J.
Affiliations
Medical University of Silesia (PL)
Corresponding author
Pala, Paulina
Venue
Advances in Dermatology and Allergology
Published
2020
Volume
37
Issue
2
Pages
159-167
ISSN
  • 0860-6218 (ISSN-L)
  • 1642-395X
OpenAlex
W3024256214
Cited by
83
References
51
Citations by year
2026: 12 · 2025: 10 · 2024: 22 · 2023: 15 · 2022: 16 · 2021: 5 · 2020: 3
FWCI
1.04
Type
journal article
Language
en
Open access
Locations
  • Advances in Dermatology and Allergology (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Keywords
teledermatology, telemedicine, melanoma, skin cancer, pigmented skin lesions, access to dermatological care, teleconsultation, cancer screening, remote patient monitoring

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