Current applications of artificial intelligence in vascular surgery
Uwe M Fischer1, Paula K Shireman2, Judith C Lin3
1Yale University School of Medicine, 330 Cedar Street, Boardman Building 204 PO Box 208062 New Haven, CT 06520.
Seminars in Vascular Surgery
|December 16, 2021
Summary
Artificial intelligence (AI) offers powerful tools for analyzing data and predicting outcomes in healthcare. While AI shows promise in vascular surgery, most applications are still in research, facing technical and ethical challenges.
Area of Science:
- Artificial Intelligence (AI) and its core components: machine learning, natural language processing, artificial neural networks, and computer vision.
Background:
- AI development in healthcare is widespread across medical subspecialties.
- Clinical implementation of AI in healthcare remains limited, particularly in specialized fields like vascular surgery.
Purpose of the Study:
- To provide a foundational understanding of artificial intelligence (AI).
- To review current clinical applications of AI in vascular surgery.
- To discuss challenges in AI implementation in patient care.
Main Methods:
- Review of existing literature on AI in healthcare and vascular surgery.
- Analysis of AI applications in vascular diagnostics, perioperative medicine, risk stratification, and outcome prediction.
- Discussion of technical, ethical, and policy challenges.
Main Results:
- AI applications in vascular surgery are predominantly in the translational research phase.
- Evaluated AI applications span diagnostics, perioperative care, risk assessment, and outcome prediction.
- Few AI tools have transitioned into routine clinical practice in vascular surgery.
Conclusions:
- AI holds significant potential for advancing vascular surgery through data analysis and prediction.
- Successful clinical integration of AI requires addressing technical hurdles and ethical considerations.
- Further research and policy development are crucial for widespread AI adoption in vascular surgery.
