The Use of Artificial Intelligence for Diagnostics and Treatment in Vascular Surgery

Artificial Intelligence (AI) is rapidly transforming the landscape of healthcare, significantly impacting fields like vascular surgery. As an ever-evolving domain, AI has become integral to the prognosis and diagnosis, offering innovative solutions for complex medical challenges. In vascular surgery, AI has been harnessed to address various facets, including aortic sac expansion, graft behavior, and cerebrovascular risk evaluations in carotid disease. As its utilization gains traction, AI is pivotal in enhancing diagnostic accuracy and optimizing therapeutic interventions, presenting the medical community with transformative tools that redefine patient care.

This Research Topic aims to delve into the cutting-edge applications of AI within the realm of vascular surgery. The primary objective is to explore how AI technologies can be leveraged to improve diagnostic precision and therapeutic outcomes. By examining varied AI implementations, this initiative seeks to answer key questions regarding its efficacy and adaptability across multiple vascular conditions. Researchers are invited to investigate hypotheses around AI’s predictive capabilities, therapeutic planning, and its role in advancing personalized treatment strategies.

To gather further insights into the role of AI in vascular surgery diagnostics and treatment, we welcome articles addressing, but not limited to, the following themes:
- AI-based diagnostic and prognostic algorithms in vascular surgery
- Case studies showcasing AI-driven therapeutic solutions in vascular conditions
- Integrations of AI with imaging technologies for enhanced surgical outcomes
- Evaluations of AI's impact on surgical planning and patient management
- Ethical considerations and challenges in deploying AI systems in vascular surgery

Additionally, various article types such as original research, reviews, case reports, and perspectives are encouraged to exploit the potential of AI in reshaping vascular surgery.

Topic Editor Efthymios Avgerinos has declared the following conflict of interest: consulting fees and speaker's bureau for Think Sono. Topic Editor Athanasios Katsargyris has declared the following conflicts of interest: proctor and speaker fees for Cook Medical, speaker fees for Gore, speaker fees for Artivion, and serving as consultant for Bentley. All other topic editors declare no conflicts of interest.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Curriculum, Instruction, and Pedagogy
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Curriculum, Instruction, and Pedagogy
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Systematic Review
• Technology and Code

Keywords: AI, vascular surgery, vascular diagnostics, vascular therapeutics, surgical practice

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.