Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.

Kieffer M, Morris J, Trabert B, Tondo-Steele K

Open source

DOI
10.1016/j.gore.2026.102158
Published
2026 Aug
Container
Gynecologic oncology reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.gore.2026.102158,
  title = {Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.},
  author = {Kieffer M and Morris J and Trabert B and Tondo-Steele K},
  year = {2026},
  journal = {Gynecologic oncology reports},
  doi = {10.1016/j.gore.2026.102158},
  url = {https://doi.org/10.1016/j.gore.2026.102158}
}

RIS

TY  - JOUR
TI  - Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.
AU  - Kieffer M
AU  - Morris J
AU  - Trabert B
AU  - Tondo-Steele K
PY  - 2026
JO  - Gynecologic oncology reports
DO  - 10.1016/j.gore.2026.102158
UR  - https://doi.org/10.1016/j.gore.2026.102158
ER  - 

APA

M, K., J, M., B, T., & K, T. (2026). Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.. Gynecologic oncology reports. https://doi.org/10.1016/j.gore.2026.102158

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