The Use of Artificial Intelligence and Machine Learning in Surgery: A Comprehensive Literature Review

被引：11

作者：

Dagli, Mert Marcel ^{[1
]}

Rajesh, Aashish ^{[2
]}

Asaad, Malke ^{[3
]}

Butler, Charles E. ^{[3
]}

机构：

[1] Med Univ Innsbruck, Innsbruck, Austria

[2] Univ Texas Hlth Sci Ctr San Antonio, Dept Surg, San Antonio, TX 78229 USA

[3] Univ Texas MD Anderson Canc Ctr, Dept Plast & Reconstruct Surg, Houston, TX 77030 USA

来源：

AMERICAN SURGEON | 2023年 / 89卷 / 05期

关键词：

artificial intelligence; machine learning; natural language processing; plastic surgery; cosmetic surgery; NEURAL-NETWORKS; LOGISTIC-REGRESSION; BURN PATIENTS; BLACK-BOX; PREDICTION; CLASSIFICATION; DIAGNOSIS; SURVIVAL; VISION; DEPTH;

D O I：

10.1177/00031348211065101

中图分类号：

R61 [外科手术学];

学科分类号：

摘要：

Interest in the use of artificial intelligence (AI) and machine learning (ML) in medicine has grown exponentially over the last few years. With its ability to enhance speed, precision, and efficiency, AI has immense potential, especially in the field of surgery. This article aims to provide a comprehensive literature review of artificial intelligence as it applies to surgery and discuss practical examples, current applications, and challenges to the adoption of this technology. Furthermore, we elaborate on the utility of natural language processing and computer vision in improving surgical outcomes, research, and patient care.

引用

页码：1980 / 1988

页数：9

共 113 条

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