Evidence map›Paper›PMID 41719483›Full record

ReviewJMIR dermatology2026

AI and Digital Tools in Dermatology: Addressing Access and Misinformation.

Dominique du Crest, Monisha Madhumita, Wendemagegn Enbiale, Jose Antonio Ruiz Postigo, Josep Malvehy, Shannon Wongvibulsin, Somesh Gupta, Harald Kittler, Charbel Skayem, Anjali Mahto and 6 more

Abstract readReview
In one paragraph

Review in JMIR dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Dominique du Crest *SkinAid SAS, 50 Rue Danton, Levallois Perret, 92300, France, 33 620715128.ORCID 0000-0002-2496-3018
Monisha Madhumita *Department of Dermatology, Saveetha Medical College, Chennai, India.ORCID 0000-0001-5652-8785
Wendemagegn Enbiale *College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.ORCID 0000-0002-0692-850X
Jose Antonio Ruiz Postigo *World Health Organization, Geneva, Switzerland.ORCID 0000-0002-7165-8358
Josep Malvehy *Centro de Investigación Biomédica en Red de Enfermedades Raras Instituto de Salud Carlos III, Barcelona, Spain.ORCID 0000-0002-6998-914X
Shannon Wongvibulsin *Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.ORCID 0000-0002-1390-7440
Somesh Gupta *All India Institute of Medical Sciences, New Delhi, New Delhi, India.ORCID 0000-0003-3015-8602
Harald Kittler *Department of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0051-8016
Charbel SkayemHôpital Ambroise-Paré, Boulogne Billancourt, France.ORCID 0000-0002-4498-0683
Anjali Mahto *Self London, London, United Kingdom.ORCID 0009-0009-1908-1350
Adewole S Adamson *University of Texas at Austin Dell Medical School, Austin, TX, United States.ORCID 0000-0002-1493-1776
Jules B Lipoff *Department of Dermatology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States.ORCID 0000-0002-0557-4260
Art Papier *Department of Dermatology, University of Rochester College of Medicine, Rochester, NY, United States.ORCID 0000-0002-0181-0481
Hugues Cartier *Saint-Jean Clinic of Dermatology, Arras, France.ORCID 0000-0003-3334-7601
Sébastien GarsonSELARL Dr GARSON, Senlis, France.ORCID 0009-0002-1679-6552
Esther Freeman *Massachusetts General Hospital, Department of Dermatology, Boston, MA, United States.ORCID 0000-0001-7751-9466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Digital dermatology, which is defined as the use of digital technologies that leverage individual- and population-level skin data to improve the diagnosis, treatment, and prevention of skin diseases, has emerged as a critical frontier for bridging persistent gaps in dermatologic care. This transformation holds particular promise for addressing long-standing inequities linked to geography, income, and skin type. According to the Global Burden of Disease 2023 study, skin and subcutaneous diseases remain among the most prevalent global health conditions, contributing substantially to disability-adjusted life years. Digital tools (including teledermatology, artificial intelligence [AI], and large language models) offer new ways to extend diagnosis, education, and patient empowerment to historically underserved populations. However, these same innovations risk amplifying disparities if they are not designed and deployed intentionally. Algorithmic bias, uneven digital access, and the absence of culturally responsive models can undermine progress. In this conceptual and narrative review, we draw on expert dialogues and illustrative literature, including multistakeholder exchanges at the Skin and Digital Summit (2023-2025) and related global forums, to examine how digital dermatology can promote equitable skin health. We focus on 3 interlinked priorities: expanding access through scalable digital platforms, ensuring AI fairness via comprehensive and diverse datasets, and countering dermatological misinformation. Central to the latter is a bot concept described here as a dynamic cycle that analyzes scientific literature; ranks evidence; translates complex research into clear language; and delivers trustworthy, personalized guidance to both consumers and clinicians. By embedding expert oversight and evidence prioritization, such tools can ensure that accurate, actionable information reaches users at the speed and scale of the internet. Drawing on case studies (including lessons from the World Health Organization's AI skin health app) and insights from the Skin and Digital Summit, we highlight both the transformative potential and the ethical complexities of these digital solutions. To navigate this evolving landscape, we propose the concept of radical dermatology, which confronts the reality that big tech is reshaping skin health whether we like it or not and insists that dermatologists and stakeholders lead the transformation through bold collaboration and unwavering clinical relevance.

Indexed as

Artificial IntelligenceDermatologySkin DiseasesCommunicationDigital HealthDigital MediaHumansTelemedicineAIAI in health careartificial intelligencedermatologydigital dermatologydigital healthethical AIglobal healthhealth techlarge language modelLLMmisinformationradical dermatologyskinsocial mediateledermatology

Identifiers

PMID41719483
PMCPMC12923100

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.