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Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy
S de Sanjosé, RB Perkins, N Campos, F Inturrisi… - Elife, 2024 - elifesciences.org
Background: The HPV-automated visual evaluation (PAVE) Study is an extensive,
multinational initiative designed to advance cervical cancer prevention in resource …
multinational initiative designed to advance cervical cancer prevention in resource …
An Emperical Way to Diagnose the Cancer Stages Using Algorithm in AI System
B Muniandi, H Yennapusa… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper gives a unique technique for automated cancer detection the use of AI-based
totally prediction algorithms. Cancer often gives as a complicated and heterogeneous set of …
totally prediction algorithms. Cancer often gives as a complicated and heterogeneous set of …
The future of cervical cancer prevention: advances in research and technology
PKC Sekar, SM Thomas… - Exploration of …, 2024 - explorationpub.com
This article provides an informative overview of the current situation and future trends in
cervical cancer prevention. Cervical cancer remains a significant public health concern …
cervical cancer prevention. Cervical cancer remains a significant public health concern …
Global burden of gynaecological cancers in 2022 and projections to 2050
B Zhu, H Gu, Z Mao, NM Beeraka, X Zhao… - Journal of global …, 2024 - pmc.ncbi.nlm.nih.gov
Background The incidence and mortality of gynaecological cancers can significantly impact
women's quality of life and increase the health care burden for organisations globally. The …
women's quality of life and increase the health care burden for organisations globally. The …
Designing a high-sensitivity dual-band nano-biosensor based on petahertz MTMs to provide a perfect absorber for early-stage non-melanoma skin cancer diagnostic
The purpose of this study is the development of a novel high-performance low-petahertz
(PHz) biosensor for nonmelanoma skin cancer (NMSC) diagnosis. The presented device is …
(PHz) biosensor for nonmelanoma skin cancer (NMSC) diagnosis. The presented device is …
The Future of Cervical Cancer Screening
A Goldstein, M Gersh, G Skovronsky… - International journal of …, 2024 - Taylor & Francis
Purpose Cervical cancer remains a significant health concern, particularly in develo**
countries, where it is a leading cause of cancer-related deaths among women. Innovative …
countries, where it is a leading cause of cancer-related deaths among women. Innovative …
[HTML][HTML] Differences between human and artificial/augmented intelligence in medicine
The emphasis on artificial intelligence (AI) is rapidly increasing across many diverse aspects
of society. This manuscript discusses some of the key topics related to the expansion of AI …
of society. This manuscript discusses some of the key topics related to the expansion of AI …
Validation in Zambia of a cervical screening strategy including HPV genoty** and artificial intelligence (AI)-based automated visual evaluation
Background WHO has recommended HPV testing for cervical screening where it is practical
and affordable. If used, it is important to both clarify and implement the clinical management …
and affordable. If used, it is important to both clarify and implement the clinical management …
Automated image clarity detection for the improvement of colposcopy imaging with multiple devices
L Ekem, E Skerrett, MJ Huchko… - … Signal Processing and …, 2025 - Elsevier
The proportion of women dying from cervical cancer in middle-and low-income countries is
over 60%, twice that of their high-income counterparts. A primary screening strategy to …
over 60%, twice that of their high-income counterparts. A primary screening strategy to …
A multimodal deep learning model for cervical pre-cancers and cancers prediction: Development and internal validation study
Background The current cervical cancer screening and diagnosis have limitations due to
their subjectivity and lack of reproducibility. We describe the development of a deep learning …
their subjectivity and lack of reproducibility. We describe the development of a deep learning …