Eliminating Cervical Cancer: A Role for Artificial Intelligence

Author(s):  
Lynette J. Menezes ◽  
Lianet Vazquez ◽  
Chilukuri K. Mohan ◽  
Charurut Somboonwit
2017 ◽  
Vol 6 (2) ◽  
pp. 51 ◽  
Author(s):  
Yan Dong ◽  
Jigeng Bai ◽  
Yuping Zhang ◽  
Guangjie Shang ◽  
Yan Zhao ◽  
...  

Purpose: In China the number of pathologists is far from being enough to meet the demands of ongoing population based cervical cancer screening programs. This article aims to present our experience with automated quantitative cytology imaging platform, a reading system with an artificial intelligence that we currently use routinely for cervical cancer screening in Shanxi province.Methods: From 2012-2016 a total of 40 178 women were screened. Women were divided into three groups and each group had two subgroups. Smear and liquid based technique were compared using manual and automated platform.Results: Detection rates of CIN2 + and positive rates of CIN2 were higher in all three groups when automated quantitative cytology platform was used compared with groups where reading was done by the pathologist using conventional microscope. Operator’s costs associated with automated quantitative cytology platform vs. conventional reading using light microscope were compared too. The overall costs of operations based on automated platform were proven to be lower.Conclusion: The use of automated platform and artificial intelligence as a means to overcome the lack of cytotechnologists and pathologists and to implement proper quality control in the large scale population based cervical cancer screening seems very promising.


2021 ◽  
Author(s):  
Bojana Turic ◽  
Xiaorong Sun ◽  
Jian Wang ◽  
Baochang Pang

In the last few years internet-based technologies played an important role in reinventing various medical procedures and facilitating quick access to medical services and care, particularly in the remote areas of China. The use of artificial intelligence and cloud computing in clinical laboratory setting for slide analysis contributed to standardized cytology and pathology diagnosis but more importantly slide analysis with artificial intelligence has a huge potential to compensate for a country wide lack of pathologists and systematic quality control. While well-established automated slide scanning is already in use, we added intelligent algorithms located in a secure cloud for the better slide readings, and mobile phone microscopes to capture those regions of Hubei province where laboratory infrastructure is supported by high-speed internet and 5G networks. These technological advances allowed us to bring an important pathology expertise across the large areas of China.


2021 ◽  
Vol 2 (1) ◽  
pp. 011303
Author(s):  
Zhenzhong Yang ◽  
Jack Francisco ◽  
Alexandra S. Reese ◽  
David R. Spriggs ◽  
Hyungsoon Im ◽  
...  

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