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Einsatzmöglichkeiten von „large language models“ in der Onkologie

  • Chiara M. Loeffler,
  • Keno K. Bressem,
  • Daniel Truhn

摘要

Background

Large language models such as Chat-GPT (generative pretrained transformer) have improved dramatically in their capabilities within the past 2 years. These models can now “reason” and understand language to an extent such that their use in clinical medicine comes within reach.

Objective

This article aims to provide an overview over the underlying working principles of large language models and their potential application in medicine, in particular in oncology.

Conclusion

Large language models have the potential to support oncologists in clinical practice in a variety of settings and can lead to better quality of care and more efficient processes, leaving more time for effective patient care.