Simulation Training in Vascular and Endovascular Surgery: A Nationwide Survey Among Surgeon Educators and Trainees in France.

BACKGROUND: Vascular surgical training is evolving towards simulation-based methods to enhance skill development, ensure patient safety, and adapt to changing regulations. This study aims to investigate the utilization of simulation training among vascular surgeons in France, amidst ongoing shifts in teaching approaches and educational reforms. METHODS: A national survey assessed the experiences and perceptions of vascular surgery professionals regarding simulation training. Participation was open to self-reported health professionals specialized (or specializing) in vascular surgery, including interns or fellows. Participants were recruited through various channels, and data were collected via a questionnaire covering participant characteristics, simulation experiences, and perceptions. RESULTS: Seventy-six participants, predominantly male (74%) took part in the survey. While 58% reported access to simulation laboratories, only 17% had organized simulation sessions 1-3 times a year, and 5% had sessions more than 10 times annually. High fidelity simulators were available in 57% of institutions, while low fidelity simulators were available in 50%. Regarding funding, 20% received financial assistance for training, predominantly from industry (18%). One-third of the participants experienced 9 or more sessions (34%), lasting between 1 and 2 hours (34%), 30% expressed satisfaction with access to simulation, while 33% were dissatisfied with communication of simulation training opportunities. CONCLUSIONS: Despite recognizing the benefits of simulation training, its integration into vascular surgery education in France remains incomplete. Challenges such as limited access and communication barriers hinder widespread adoption. Collaborative efforts are needed to ensure uniformity and enhance the effectiveness of simulation training in vascular surgery education.

Large language models and artificial intelligence chatbots in vascular surgery.

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.

Extended and augmented reality in vascular surgery: Opportunities and challenges.

Extended reality has brought new opportunities for medical imaging visualization and analysis. It regroups various subfields, including virtual reality, augmented reality, and mixed reality. Various applications have been proposed for surgical practice, as well as education and training. The aim of this review was to summarize current applications of extended reality and augmented reality in vascular surgery, highlighting potential benefits, pitfalls, limitations, and perspectives on improvement.