Assessing Artificial Intelligence–Generated Responses to Urology Patient In-Basket Messages

Michael Scott, Wade Muncey, Nicolas Seranio, Federico Belladelli, Francesco Del Giudice, Shufeng Li, Albert Ha, Frank Glover, Chiyuan Amy Zhang, Michael L. Eisenberg

Open source

DOI: 10.1097/upj.0000000000000637
Published: 2024-09
Container: Urology Practice
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1097/upj.0000000000000637,
  title = {Assessing Artificial Intelligence–Generated Responses to Urology Patient In-Basket Messages},
  author = {Michael Scott and Wade Muncey and Nicolas Seranio and Federico Belladelli and Francesco Del Giudice and Shufeng Li and Albert Ha and Frank Glover and Chiyuan Amy Zhang and Michael L. Eisenberg},
  year = {2024},
  journal = {Urology Practice},
  doi = {10.1097/upj.0000000000000637},
  url = {https://doi.org/10.1097/upj.0000000000000637}
}

RIS

TY  - JOUR
TI  - Assessing Artificial Intelligence–Generated Responses to Urology Patient In-Basket Messages
AU  - Michael Scott
AU  - Wade Muncey
AU  - Nicolas Seranio
AU  - Federico Belladelli
AU  - Francesco Del Giudice
AU  - Shufeng Li
AU  - Albert Ha
AU  - Frank Glover
AU  - Chiyuan Amy Zhang
AU  - Michael L. Eisenberg
PY  - 2024
JO  - Urology Practice
DO  - 10.1097/upj.0000000000000637
UR  - https://doi.org/10.1097/upj.0000000000000637
ER  -

APA

Scott, M., Muncey, W., Seranio, N., Belladelli, F., Giudice, F. D., Li, S., Ha, A., Glover, F., Zhang, C. A., & Eisenberg, M. L. (2024). Assessing Artificial Intelligence–Generated Responses to Urology Patient In-Basket Messages. Urology Practice. https://doi.org/10.1097/upj.0000000000000637

Source records

crossref · retrieved 2026-09-27T02:25:36.007Z