In:
The American Surgeon, SAGE Publications, Vol. 89, No. 1 ( 2023-01), p. 11-19
Abstract:
Artificial intelligence (AI) focuses on processing and interpreting complex information as well as identifying relationships and patterns among complex data. Artificial intelligence- and machine learning (ML)-driven predictions have shown promising potential in influencing real-time decisions and improving surgical outcomes by facilitating screening, diagnosis, risk assessment, preoperative planning, and shared decision-making. Fundamental understanding of the algorithms, as well as their development and interpretation, is essential for the evolution of AI in surgery. In this article, we provide surgeons with a fundamental understanding of AI-driven predictive models through an overview of common ML and deep learning algorithms, model development, performance metrics and interpretation. This would serve as a basis for understanding ML-based research, while fostering new ideas and innovations for furthering the reach of this emerging discipline.
Type of Medium:
Online Resource
ISSN:
0003-1348
,
1555-9823
DOI:
10.1177/00031348221103648
Language:
English
Publisher:
SAGE Publications
Publication Date:
2023
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