Abstract
Multidisciplinary tumor boards are meetings where a team of medical specialists, including medical oncologists, radiation oncologists, radiologists, surgeons, and pathologists, collaborate to determine the best treatment plan for cancer patients. While decision-making in this context is logistically and cost-intensive, it has a significant positive effect on overall cancer survival.
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Aubreville M, Ganz J, Ammeling J, u. a. Prediction of tumor board procedural recommendations using large language models. European Archives of Oto-Rhino-Laryngology. 2024. doi:10.1007/s00405-024-08947-9.
Aubreville, M. ., Ganz, J. ., Ammeling, J. ., Rosbach, E. ., Gehrke, T. ., Scherzad, A. ., … Goncalves, M. . (2024). Prediction of tumor board procedural recommendations using large language models. European Archives of Oto-Rhino-Laryngology. http://doi.org/10.1007/s00405-024-08947-9 (Original work published 2024)
Aubreville, Marc, Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Thomas Gehrke, Agmal Scherzad, Stephan Hackenberg, und Miguel Goncalves. (2024) 2024. „Prediction of Tumor Board Procedural Recommendations Using Large Language Models“. European Archives of Oto-Rhino-Laryngology. doi:10.1007/s00405-024-08947-9.
Aubreville, Marc u. a. „Prediction of Tumor Board Procedural Recommendations Using Large Language Models“. European Archives of Oto-Rhino-Laryngology (2024): n. pag.
Aubreville, Marc, u. a. „Prediction of Tumor Board Procedural Recommendations Using Large Language Models“. 2024. European Archives of Oto-Rhino-Laryngology, 2024, doi:10.1007/s00405-024-08947-9.
Details
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Date Published
sep -
ISSN Number
1434-4726 -
URL
https://doi.org/10.1007/s00405-024-08947-9