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Usefulness of Smartphones in Dermatology: A US-Based Review

Author

Listed:
  • Samantha Ouellette

    (Department of Dermatology, Rutgers Robert Wood Johnson Medical School, Somerset, NJ 08873, USA)

  • Babar K. Rao

    (Department of Dermatology, Rutgers Robert Wood Johnson Medical School, Somerset, NJ 08873, USA
    Department of Dermatology, Weill Cornell Medicine, New York, NY 10065, USA)

Abstract

(1) Background: As smartphones have become more widely used, they have become an appealing tool for health-related functions. For dermatology alone, hundreds of applications (apps) are available to download for both patients and providers. (2) Methods: The Google Play Store and Apple App Store were searched from the United States using dermatology-related terms. Apps were categorized based on description, and the number of reviews, download cost, target audience, and use of AI were recorded. The top apps from each category by number of reviews were reported. Additionally, literature on the benefits and limitations of using smartphones for dermatology were reviewed. (3) Results: A total of 632 apps were included in the study: 395 (62.5%) were marketed towards patients, 203 (32.1%) towards providers, and 34 (5.4%) towards both; 265 (41.9%) were available only on the Google Play Store, 146 (23.1%) only on the Apple App Store, and 221 (35.0%) were available on both; and 595 (94.1%) were free to download and 37 (5.9%) had a cost to download, ranging from USD 0.99 to USD 349.99 (median USD 37.49). A total of 99 apps (15.7%) reported the use of artificial intelligence. (4) Conclusions: Although there are many benefits of using smartphones for dermatology, lack of regulation and high-quality evidence supporting the efficacy and accuracy of apps hinders their potential.

Suggested Citation

  • Samantha Ouellette & Babar K. Rao, 2022. "Usefulness of Smartphones in Dermatology: A US-Based Review," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3553-:d:772999
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    References listed on IDEAS

    as
    1. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 546(7660), pages 686-686, June.
    2. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
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