ReviewHealth science reports2026
Teledermatology: The Most Recent Advancements and Applications of Mobile Apps: A Narrative Review.
Review in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Mobile health improves patient-provider communication and expands access to specialists, especially in underserved areas. Training and empowerment of professionals and patients are among key objectives of mHealth technologies. This study investigated the most recent advancements and applications of mobile apps in dermatology. Methods: We conducted a review of original articles on advancements and applications of mobile apps in dermatology published from 2015 to 2024. Searches spanned Web of Science, Scopus, and PubMed using relevant keywords. Two independent authors screened and selected studies based on the inclusion criteria. Results: The most frequently cited technologies were mobile health, mobile apps, telemedicine, teledermoscopy, artificial intelligence, image processing, deep learning, clinical image analysis, and cloud-based data storage. The primary devices were tablets or smartphones. Image optimization utilized high-performance GPUs-notably the NVIDIA Tesla P4-followed by intensive image processing with neural network algorithms and deep learning libraries such as Conclusion: Teledermatology can strengthen frontline healthcare capacity by improving access to resources in underserved settings. Additional applications include statistical reporting and analysis, data storage within electronic health records (EHRs), early detection and prevention of skin cancer, virtual and online consultations, and protection of patient information using barcodes. These benefits are particularly relevant in rural and remote tropical regions where skin diseases are prevalent. Offline-capable systems are especially valuable in contexts with limited internet connectivity.
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Identifiers
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.