Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising

被引：19

作者：

Mendoza Ladd, Antonio ^{[1
]}

Diehl, David L. ^{[2
]}

机构：

[1] Texas Tech Univ, Hlth Sci Ctr El Paso, Div Gastroenterol, Dept Internal Med, 4800 Alberta Ave, El Paso, TX 79905 USA

[2] Geisinger Med Ctr, Dept Gastroenterol & Nutr, Danville, PA 17822 USA

来源：

WORLD JOURNAL OF GASTROENTEROLOGY | 2021年 / 27卷 / 13期

关键词：

Pancreatic adenocarcinoma; Artificial intelligence; Neural network; Future perspectives; Early diagnosis; Improved performance; ENDOSCOPIC ULTRASOUND ELASTOGRAPHY; NEURAL-NETWORK ANALYSIS; DUCTAL ADENOCARCINOMA; DIFFERENTIAL-DIAGNOSIS; AUTOMATIC SEGMENTATION; EUS IMAGES; CANCER; PREDICTION; MACHINE; KNOWLEDGE;

D O I：

10.3748/wjg.v27.i13.1283

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

Pancreatic ductal adenocarcinoma (PDAC) is a worldwide public health concern. Despite extensive research efforts toward improving diagnosis and treatment, the 5-year survival rate at best is approximately 15%. This dismal figure can be attributed to a variety of factors including lack of adequate screening methods, late symptom onset, and treatment resistance. Pancreatic ductal adenocarcinoma remains a grim diagnosis with a high mortality rate and a significant psy-chological burden for patients and their families. In recent years artificial intelligence (AI) has permeated the medical field at an accelerated pace, bringing potential new tools that carry the promise of improving diagnosis and treatment of a variety of diseases. In this review we will summarize the landscape of AI in diagnosis and treatment of PDAC.

引用

页码：1283 / 1295

页数：13

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