Large language models and artificial intelligence chatbots in vascular surgery.

Journal: Seminars in vascular surgery
PMID: 39277347

Abstract

Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbots and virtual assistants. Nevertheless, the benefits and pitfalls of such technology need to be carefully evaluated before their use in health care. The aim of this narrative review was to provide an overview of potential applications of large language models and artificial intelligence chatbots in the field of vascular surgery, including clinical practice, research, and education. In light of the results, we discuss current limits and future directions.

Authors

  • Fabien Lareyre
    Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France; Department of Vascular Surgery, University Hospital of Nice, Nice, France.
  • Bahaa Nasr
    LaTIM, INSERM UMR1101, Brest, France.
  • Elise Poggi
    Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, Antibes, France.
  • Gilles Di Lorenzo
    Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France.
  • Ali Ballaith
    Department of Vascular Surgery, University Hospital of Nice, Nice, France.
  • Imen Sliti
    Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France.
  • Arindam Chaudhuri
    Bedfordshire-Milton Keynes Vascular Centre, Bedfordshire Hospitals NHS Foundation Trust, Bedford, UK.
  • Juliette Raffort
    Clinical Chemistry Laboratory, University Hospital of Nice, Nice, France; Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France. Electronic address: juliette.raffort@hotmail.fr.

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