当前位置: X-MOL 学术Best Pract. Res. Clin. Gastroenterol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Esophageal squamous dysplasia and cancer: Is artificial intelligence our best weapon?
Best Practice & Research Clinical Gastroenterology ( IF 3.2 ) Pub Date : 2020-12-29 , DOI: 10.1016/j.bpg.2020.101723
Mohamed Hussein 1 , Martin Everson 2 , Rehan Haidry 3
Affiliation  

Esophageal cancer is the eight most common cancer in the world and is associated with a poor prognosis. Significant efforts are necessary to improve the detection of early squamous cell cancer such that curative endoscopic therapy can be offered. Studies have shown an overall miss rate of esophageal cancer of up to 6.4%. Human factors including fatigue and lack of attention may be a contributory factor. Computer aided detection and characterisation of early squamous cell cancer can be a second reader which potentially offsets these factors. Recent studies developing artificial intelligence systems show real promise in the detection of early squamous cell cancer and predicting depth of invasion to aid in the management of patients in the same endoscopic session. This has the potential to revolutionise this area of endoscopy.



中文翻译:

食管鳞状细胞发育不良和癌症:人工智能是我们最好的武器吗?

食管癌是世界上最常见的八种癌症,预后不良。需要做出重大努力来改进早期鳞状细胞癌的检测,以便提供治愈性内窥镜治疗。研究表明,食管癌的总体漏诊率高达 6.4%。包括疲劳和注意力不集中在内的人为因素可能是一个促成因素。早期鳞状细胞癌的计算机辅助检测和表征可能是第二个读取器,它可能会抵消这些因素。最近开发人工智能系统的研究在检测早期鳞状细胞癌和预测浸润深度以帮助在同一内窥镜检查中帮助管理患者方面显示出真正的希望。这有可能彻底改变内窥镜检查领域。

更新日期:2020-12-29
down
wechat
bug