Artificial Intelligence in Diagnosing and Managing Vascular Surgery Patients: An Experimental Study Using the GPT-4 Model.

Journal: Annals of vascular surgery
PMID: 39586530

Abstract

BACKGROUND: The introduction of artificial intelligence (AI) has led to groundbreaking advancements across many scientific fields. Machine learning algorithms have enabled AI models to learn, adapt, and solve complex problems in previously unimaginable ways. Natural language processing allows these models to comprehend and respond to inquiries in a natural and humanly understandable way. We sought to investigate the application and performance of an AI chatbot in the diagnosis and management of vascular surgery patients.

Authors

  • Vangelis G Alexiou
    Department of Surgery - Vascular Surgery Unit, University Hospital of Ioannina, Ioannina, Greece; Alfa Institute of Biomedical Sciences (AIBS), Athens, Greece. Electronic address: v.alexiou@aibs.gr.
  • Bauer E Sumpio
    Department of Vascular Surgery, Yale University School of Medicine, New Haven, CT.
  • Areti Vassiliou
    Department of Surgery - Vascular Surgery Unit, University Hospital of Ioannina, Ioannina, Greece.
  • Stavros K Kakkos
    Department of Vascular Surgery, University Hospital of Patras, Patras, Greece.
  • George Geroulakos
    Josef Pflug Vascular Laboratory, Department of Vascular Surgery, Ealing Hospital, Middlesex, United Kingdom; Department of Surgery and Cancer, Imperial College, London, United Kingdom; Department of Vascular Surgery, Northwick Park Hospital, Middlesex, United Kingdom.

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