A data-calibrated model of dynamic flow diversions to AI-assisted teledermatology

Abraham Seidmann, Fanying Chen, Opher Baron, Avi Porath

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DOI: 10.1016/j.jdin.2026.09.005
Published: 2026-12
Container: JAAD International
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jdin.2026.09.005,
  title = {A data-calibrated model of dynamic flow diversions to AI-assisted teledermatology},
  author = {Abraham Seidmann and Fanying Chen and Opher Baron and Avi Porath},
  year = {2026},
  journal = {JAAD International},
  doi = {10.1016/j.jdin.2026.09.005},
  url = {https://doi.org/10.1016/j.jdin.2026.09.005}
}

RIS

TY  - JOUR
TI  - A data-calibrated model of dynamic flow diversions to AI-assisted teledermatology
AU  - Abraham Seidmann
AU  - Fanying Chen
AU  - Opher Baron
AU  - Avi Porath
PY  - 2026
JO  - JAAD International
DO  - 10.1016/j.jdin.2026.09.005
UR  - https://doi.org/10.1016/j.jdin.2026.09.005
ER  -

APA

Seidmann, A., Chen, F., Baron, O., & Porath, A. (2026). A data-calibrated model of dynamic flow diversions to AI-assisted teledermatology. JAAD International. https://doi.org/10.1016/j.jdin.2026.09.005

Source records

crossref · retrieved 2026-11-05T20:10:53.387Z