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NTL Healthcare, Publication on Improving Early Detection of Cervical Cancer Using AI

Author
엔티엘헬스케어
Date
2024-02-14 10:53
Views
106

NTL Healthcare announced on the 31st that a research paper on early detection of cervical cancer

using the AI-based cervical cancer screening system 'CerviCARE AI' has been published

in the international scientific journal Scientific Reports.

 

The paper features the participation of Professors Oh Young-taek from Korea University Ansan Hospital,

Kim Tae-jin from Konkuk University Hospital, Lee Jae-kwan from Korea University Guro Hospital,

Ju Woong from Ewha Womans University Seoul Hospital, Kim Sang-woon from Severance Hospital,

Jeon Seop from Soonchunhyang University Cheonan Hospital, Kim Su-nyeong from NTL Medical Institute,

and Kim Kwang-gi from Gachon University Medical Device Convergence Center.

 

The retrospective study analyzed cases of cervical cancer screening performed from April 2022

using the AI-based cervical cancer screening system 'CerviCARE AI'.

According to the research, CerviCARE AI automatically analyzed cervical images within 5 seconds

and distinguished between high-grade and low-grade lesions. The sensitivity for detecting high-grade cervical lesions was 98%,

and the specificity was 95.5%. The sensitivity and specificity for detecting all lesions were high as well.

The company evaluated that the accuracy of CerviCARE AI was comparable to that of the conventional colposcopy test used

for confirming cervical cancer.

 

An official from NTL stated, "CerviCARE AI can support health professionals’ clinical decision,

making it possible to achieve accurate and affordable early detection of cervical cancer in underdeveloped countries

with limited medical resources, thereby cost-effective."

 

NTL Healthcare is a femtech company that provides screening services for women’s cancers such as cervical cancer.

CerviCARE AI is a cervical cancer screening system developed based on cervical imaging data accumulated by NTL

over 28 years of providing screening services in domestic and international markets.

It classifies cervical cancer test results into 'normal' and 'abnormal,' that can support health professionals’ additional course of medical decision.