Standards for Quality Improvement Registries on Abdominal Aortic Aneurysm Repair: A Delphi Consensus Report From VASCUNET and International Consortium of Vascular Registries.

Objective: Outcome registries in vascular surgery are increasingly used to drive quality improvement by vascular societies. The VASCUNET collaboration, within the European Society for Vascular Surgery (ESVS), and the International Consortium of Vascular Registries (ICVR) developed a set of variables for quality improvement registries on abdominal aortic aneurysm (AAA) repair as a registry standard.

Methods: Representatives from international vascular registries within VASCUNET, ICVR, and other nations with established registries were invited to provide the variables.

A Nationwide Analysis in France on Sex Difference and Outcomes Following Carotid Intervention in Asymptomatic Patients.

The impact of sex on outcomes following carotid endarterectomy (CEA) and carotid artery stenting (CAS) is not fully elucidated. The aim of this study was to analyze the association between sex and outcomes of asymptomatic patients who underwent primary carotid interventions in France. This nationwide retrospective study was performed using the French National Health Insurance Information System and included asymptomatic patients who underwent primary carotid intervention over a 10-year period (1 January 2013 to 31 August 2023).

Open E-survey on the Use and Perception of Chatbots in Vascular Surgery.

Objective: Large language models and artificial intelligence (AI) based chatbots have brought new insights in healthcare, but they also raise major concerns. Their applications in vascular surgery have scarcely been investigated to date. This international survey aimed to evaluate the perceptions and feedback from vascular surgeons on the use of AI chatbots in vascular surgery.

Characteristics of Young Women Presenting With Acute Myocardial Infarction: The Prospective, Multicenter, Observational Young Women Presenting Acute Myocardial Infarction in France Study.

Background: The percentage of women <50 years of age hospitalized with myocardial infarction is increasing. We describe the clinical, morphological, and biological characteristics, as well as the clinical outcomes of this population.

Methods And Results: This prospective, observational study included consecutive women <50 years of age admitted for myocardial infarction at 30 centers in France (May 2017-June 2019).

Vascular liver segmentation: a narrative review on methods and new insights brought by artificial intelligence.

Liver vessel segmentation from routinely performed medical imaging is a useful tool for diagnosis, treatment planning and delivery, and prognosis evaluation for many diseases, particularly liver cancer. A precise representation of liver anatomy is crucial to define the extent of the disease and, when suitable, the consequent resective or ablative procedure, in order to guarantee a radical treatment without sacrificing an excessive volume of healthy liver. Once mainly performed manually, with notable cost in terms of time and human energies, vessel segmentation is currently realized through the application of artificial intelligence (AI), which has gained increased interest and development of the field.

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.

Computational surgery in the management of patients with abdominal aortic aneurysms: Opportunities, challenges, and future directions.

Computational surgery (CS) is an interdisciplinary field that uses mathematical models and algorithms to focus specifically on operative planning, simulation, and outcomes analysis to improve surgical care provision. As the digital revolution transforms the surgical work environment through broader adoption of artificial intelligence and machine learning, close collaboration between surgeons and computational scientists is not only unavoidable, but will become essential. In this review, the authors summarize the main advances, as well as ongoing challenges and prospects, that surround the implementation of CS techniques in vascular surgery, with a particular focus on the care of patients affected by abdominal aortic aneurysms (AAAs).

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.

Use of Artificial Intelligence With Deep Learning Approaches for the Follow-up of Infrarenal Endovascular Aortic Repair.

Introduction: Endoleaks represent one of the main complications after endovascular aortic repair (EVAR) and can lead to increased re-intervention rates and secondary rupture. Serial lifelong surveillance is required and traditionally involves cross-sectional imaging with manual axial measurements. Artificial intelligence (AI)-based imaging analysis has been developed and may provide a more precise and faster assessment.