Clinical Applications of Artificial Intelligence in Vascular Surgery

Area of Science:

• Medical Technology
• Computer Science
• Vascular Surgery

Background:

• Artificial intelligence (AI) is increasingly used across science, technology, and medicine.
• Vascular surgeons encounter significant barriers to AI adoption due to limited computer science knowledge.
• Complex AI technologies like machine learning, deep learning, and artificial neural networks present understanding challenges.

Purpose of the Study:

• To provide vascular surgeons with foundational knowledge of AI.
• To explore current and potential applications of AI in vascular surgery.
• To discuss the challenges and limitations hindering AI integration in the field.

Main Methods:

• Review of basic AI concepts.
• Description of AI applications relevant to vascular surgery.
• Discussion of smart wearable devices in vascular care.
• Analysis of barriers to AI implementation.

Main Results:

• AI technologies offer diverse applications in vascular surgery.
• Smart wearable devices represent a key area for AI integration.
• Limited understanding of AI and associated technologies is a primary obstacle.
• Significant challenges impede the widespread use of AI in vascular surgery.

Conclusions:

• Enhanced understanding of AI is crucial for vascular surgeons.
• Addressing implementation challenges is necessary for AI adoption.
• AI holds promise for advancing vascular surgery practices.
• Further research and education are needed to overcome limitations.