Article Versions Notes

Rinderknecht E, Schmelzer A, Kravchuk A, Goßler C, Breyer J, Gilfrich C, Burger M, Engelmann S, Saberi V, Kirschner C, et al. Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts. Current Oncology. 2025; 32(2):102. https://doi.org/10.3390/curroncol32020102

Rinderknecht, Emily, Anna Schmelzer, Anton Kravchuk, Christopher Goßler, Johannes Breyer, Christian Gilfrich, Maximilian Burger, Simon Engelmann, Veronika Saberi, Clemens Kirschner, and et al. 2025. "Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts" Current Oncology 32, no. 2: 102. https://doi.org/10.3390/curroncol32020102

Rinderknecht, E., Schmelzer, A., Kravchuk, A., Goßler, C., Breyer, J., Gilfrich, C., Burger, M., Engelmann, S., Saberi, V., Kirschner, C., Winning, D. v., Mayr, R., Wülfing, C., Borgmann, H., Buse, S., Haas, M., & May, M. (2025). Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts. Current Oncology, 32(2), 102. https://doi.org/10.3390/curroncol32020102