Skip to main content
SpringerLink
Log in

Artificial intelligence in skin cancer smartphone applications

Künstliche Intelligenz in Hautkrebs-Smartphone-Apps

  • NIM: Neue Ideen für die Medizin
  • Published:
Die Dermatologie Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Statista Number of smartphone users worldwide. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/. Accessed 26-11-2023,

  2. de Carvalho TM, Noels E, Wakkee M, Udrea A, Nijsten T (2019) Development of smartphone apps for skin cancer risk assessment: progress and promise. JMIR Dermatol 2(1):e13376. https://doi.org/10.2196/13376

    Article  Google Scholar 

  3. Esteva A, Kuprel B, Novoa RA et al (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118. https://doi.org/10.1038/nature21056

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Freeman K, Dinnes J, Chuchu N et al (2020) Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ 368:m127. https://doi.org/10.1136/bmj.m127

    Article  PubMed  PubMed Central  Google Scholar 

  5. Matin RN, Dinnes J (2021) AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation. Br J Cancer 124(11):1749–1750. https://doi.org/10.1038/s41416-021-01302-3

    Article  PubMed  PubMed Central  Google Scholar 

  6. Sangers TE, Kittler H, Blum A et al (2023) Position statement of the EADV Artificial Intelligence (AI) task force on AI-assisted smartphone apps and web-based services for skin disease. Acad Dermatol Venereol. https://doi.org/10.1111/jdv.19521

    Article  Google Scholar 

  7. Sangers T, Reeder S, van der Vet S et al (2022) Validation of a market-approved artificial intelligence mobile health app for skin cancer screening: a prospective multicenter diagnostic accuracy study. Dermatology 238(4):649–656. https://doi.org/10.1159/000520474

    Article  PubMed  Google Scholar 

  8. Smak Gregoor AM, Sangers TE, Bakker LJ et al (2023) An artificial intelligence based app for skin cancer detection evaluated in a population based setting. Npj Digit Med 6(1):90. https://doi.org/10.1038/s41746-023-00831-w

    Article  PubMed  PubMed Central  Google Scholar 

  9. Sangers TE, Wakkee M, Kramer-Noels EC, Nijsten T, Lugtenberg M (2021) Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators. Br J Dermatol 185(5):961–969. https://doi.org/10.1111/bjd.20441

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Leiden University Medical Center, Albinusdreef 2, 2333 ZD, Leiden, The Netherlands

    Tobias E. Sangers MD

Authors
  1. Tobias E. Sangers MD
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tobias E. Sangers MD.

Ethics declarations

Conflict of interest

T.E. Sangers reports receiving speaker fees from Janssen-Cilag, UCB, Pfizer, AbbVie, and Eli-Lilly, consulting fees from Mylan bv, and works on research projects which were funded by an unrestricted research grant from SkinVision bv.

For this article no studies with human participants or animals were performed by any of the authors. All studies mentioned were in accordance with the ethical standards indicated in each case.

Additional information

Redaktion

Natalia Kirsten, Hamburg

Alexander Zink, München

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

figure qr

Scan QR code & read article online

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sangers, T.E. Artificial intelligence in skin cancer smartphone applications. Dermatologie 75, 344–346 (2024). https://doi.org/10.1007/s00105-023-05289-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00105-023-05289-1

Search

Navigation