Artificial intelligence in hepatopancreaticobiliary surgery - promises and perils

被引：2

作者：

Boutros, Christina ^{[1
]}

Singh, Vivek ^{[2
]}

Ocuin, Lee ^{[1
]}

Marks, Jeffrey M. ^{[1
]}

Hashimoto, Daniel A. ^{[3
]}

机构：

[1] Univ Hosp Cleveland Med Ctr, Dept Surg, Cleveland, OH 44106 USA

[2] Boston Univ, Sch Med, Boston, MA 02215 USA

[3] Univ Penn, Dept Surg, Hosp Univ Penn, Perelman Sch Med, 4 Silverstein Pavilion, Philadelphia, PA 19104 USA

来源：

ARTIFICIAL INTELLIGENCE SURGERY | 2022年 / 2卷 / 04期

关键词：

Artificial intelligence; computer vision; natural language processing; machine learning; hepatopancreaticobiliary surgery; COMPUTER VISION;

D O I：

10.20517/ais.2022.32

中图分类号：

R61 [外科手术学];

学科分类号：

摘要：

Research and development in artificial intelligence (AI) has been experiencing a resurgence over the past decade. The rapid growth and evolution of AI approaches can leave one feeling overwhelmed and confused about how these technologies will impact hepatopancreaticobiliary (HPB) surgery, the obstacles to its clinical translation, and the role that HPB surgeons can play in accelerating AI's development and ultimate clinical impact. This review outlines some of the basic terminology and current approaches in surgical AI, obstacles to further development and translation of AI, and how HPB surgeons can influence its future in surgery.

引用

页码：213 / 223

页数：11

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