Artificial Intelligence for Diagnosing Images of Common Skin Disorders

Dietrich von Kuenssberg Jehle, Micah K. Browne, Hailey P. Hoffmann, Krishna K. Paul, Matthew M. Talbott, Kendall M. Campbell, Anthony W. Linfante, Bjorn A. Sorensen, Michael G. Wilkerson

Open source

DOI
10.3122/jabfm.2025.250260r3
Published
2026-08
Container
The Journal of the American Board of Family Medicine
Publisher
American Board of Family Medicine (ABFM)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3122/jabfm.2025.250260r3,
  title = {Artificial Intelligence for Diagnosing Images of Common Skin Disorders},
  author = {Dietrich von Kuenssberg Jehle and Micah K. Browne and Hailey P. Hoffmann and Krishna K. Paul and Matthew M. Talbott and Kendall M. Campbell and Anthony W. Linfante and Bjorn A. Sorensen and Michael G. Wilkerson},
  year = {2026},
  journal = {The Journal of the American Board of Family
                Medicine},
  doi = {10.3122/jabfm.2025.250260r3},
  url = {https://doi.org/10.3122/jabfm.2025.250260r3}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence for Diagnosing Images of Common Skin Disorders
AU  - Dietrich von Kuenssberg Jehle
AU  - Micah K. Browne
AU  - Hailey P. Hoffmann
AU  - Krishna K. Paul
AU  - Matthew M. Talbott
AU  - Kendall M. Campbell
AU  - Anthony W. Linfante
AU  - Bjorn A. Sorensen
AU  - Michael G. Wilkerson
PY  - 2026
JO  - The Journal of the American Board of Family
                Medicine
DO  - 10.3122/jabfm.2025.250260r3
UR  - https://doi.org/10.3122/jabfm.2025.250260r3
ER  - 

APA

Jehle, D. V. K., Browne, M. K., Hoffmann, H. P., Paul, K. K., Talbott, M. M., Campbell, K. M., Linfante, A. W., Sorensen, B. A., & Wilkerson, M. G. (2026). Artificial Intelligence for Diagnosing Images of Common Skin Disorders. The Journal of the American Board of Family Medicine. https://doi.org/10.3122/jabfm.2025.250260r3

Source records