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Large language models and artificial intelligence chatbots in vascular surgery.
Fabien Lareyre1, Bahaa Nasr2, Elise Poggi3
1Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France; Université Côte d'Azur, Centre National de la Recherche Scientifique (CNRS), UMR7370, Laboratoire de Physiomédecine Moléculaire (LP2M), Nice, France; Fédération Hospitalo-Universitaire FHU Plan & Go, Nice, France.
Large language models (LLMs) and artificial intelligence (AI) chatbots offer new possibilities in vascular surgery. This review explores their potential applications, limitations, and future directions in healthcare.
Area of Science:
- Artificial Intelligence
- Natural Language Processing
- Medical Informatics
Background:
- Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) focused on analyzing human language.
- Large Language Models (LLMs) are emerging AI technologies with significant potential in various medical fields.
- The integration of AI chatbots and virtual assistants in healthcare requires careful consideration of benefits and risks.
Purpose of the Study:
- To provide a comprehensive overview of potential applications of LLMs and AI chatbots in vascular surgery.
- To examine the utility of these technologies in clinical practice, research, and education within vascular surgery.
- To identify current limitations and outline future research directions for AI in vascular surgery.
Main Methods:
- This study employed a narrative review methodology.
- Literature search focused on large language models, artificial intelligence, chatbots, and vascular surgery.
- The review synthesized existing knowledge on AI applications in the medical domain, specifically vascular surgery.
Main Results:
- LLMs and AI chatbots present diverse applications in vascular surgery, spanning patient care, data analysis, and medical training.
- Potential benefits include enhanced diagnostic support, personalized treatment planning, and streamlined research processes.
- Significant challenges remain, including data privacy, algorithmic bias, and the need for robust clinical validation.
Conclusions:
- LLMs and AI chatbots hold considerable promise for transforming vascular surgery practices.
- Further research and careful implementation are crucial to overcome current limitations and ensure safe, effective integration.
- The future of vascular surgery may involve synergistic collaboration between human expertise and advanced AI tools.
