Evaluating the potential of ChatGPT for patient identification in clinical breast cancer trials.

Krückel A, Fasching PA, Schleicher O, Gocke J, Brückner L, Seitz K, Häberle L, Heindl F, Hack CC, Beckmann MW, Emons J

Open source

DOI
10.1177/20552076251389325
Published
2025 Jan-Dec
Container
Digital health
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1177/20552076251389325,
  title = {Evaluating the potential of ChatGPT for patient identification in clinical breast cancer trials.},
  author = {Krückel A and Fasching PA and Schleicher O and Gocke J and Brückner L and Seitz K and Häberle L and Heindl F and Hack CC and Beckmann MW and Emons J},
  year = {2025},
  journal = {Digital health},
  doi = {10.1177/20552076251389325},
  url = {https://doi.org/10.1177/20552076251389325}
}

RIS

TY  - JOUR
TI  - Evaluating the potential of ChatGPT for patient identification in clinical breast cancer trials.
AU  - Krückel A
AU  - Fasching PA
AU  - Schleicher O
AU  - Gocke J
AU  - Brückner L
AU  - Seitz K
AU  - Häberle L
AU  - Heindl F
AU  - Hack CC
AU  - Beckmann MW
AU  - Emons J
PY  - 2025
JO  - Digital health
DO  - 10.1177/20552076251389325
UR  - https://doi.org/10.1177/20552076251389325
ER  - 

APA

A, K., PA, F., O, S., J, G., L, B., K, S., L, H., F, H., CC, H., MW, B., & J, E. (2025). Evaluating the potential of ChatGPT for patient identification in clinical breast cancer trials.. Digital health. https://doi.org/10.1177/20552076251389325

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