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Peer-reviewedCC BYJAAD international

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

  • Abraham Seidmann1
  • Fanying Chen1
  • Opher Baron2
  • Avi Porath3
  1. 1Boston University, Questrom School of Business, Boston, Massachusetts
  2. 2Rotman School of Management, University of Toronto, and SiMLQ, Toronto, Ontario, Canada
  3. 3Maccabi HMO, Israel & Ben Gurion University, Tel Aviv, Israel
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Cite

BibTeXRIS
BibTeX
@article{seidmann2026datacalibrated,
  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},
  journal = {JAAD international},
  year = {2026},
  month = sep,
  doi = {10.1016/j.jdin.2026.09.005},
  url = {https://europepmc.org/article/PMC/PMC13717156},
  note = {CC BY},
}
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
DA  - 2026/09/28
JO  - JAAD international
DO  - 10.1016/j.jdin.2026.09.005
UR  - https://europepmc.org/article/PMC/PMC13717156
SN  - 2666-3287
ER  -